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• Designing, implementing, and maintaining CI/CD processes to support fast and reliable software releases (Jenkins, Nexus, GitLab).
• Managing artifacts and dependencies using Nexus Repository Manager to ensure consistency and version control in projects.
• Creating and evolving automation scripts (e.g., in Groovy, Python, Bash) to streamline CI/CD processes.
• Optimizing build and deployment processes to reduce software delivery time.
• Monitoring, diagnosing, and resolving performance and availability-related issues.
• Ensuring the security of infrastructure and CI/CD processes following best practices.
• Implementing and maintaining tools for code quality analysis, e.g., SonarQube, as part of CI/CD processes.
• Creating and maintaining tools to support monitoring and logging (e.g., Prometheus, Grafana, ELK Stack).
• Developing and implementing incident management processes and disaster recovery strategies.
• Collaborating with development teams on code integration, project builds, automated testing (various levels of the testing pyramid), and dependency management.
• Actively participating in projects related to containerization and orchestration, using technologies such as Docker, Kubernetes.
• Defining and maintaining automation standards, technical documentation, and DevOps practices.
• Conducting training and mentoring on DevOps practices, CI/CD, and the tools used.
• Implementing integrations between CI/CD tools and automated testing systems and code quality analysis to ensure high-quality software at every stage of the project lifecycle.
• Creating, implementing, integrating, and administering internal tools supporting the organization.
  
  

• Minimum 3 years of experience in the role of DevOps Engineer or equivalent experience in a related technical role (e.g. Operating Systems Administrator).
• Practical knowledge of CI/CD tools (e.g. Jenkins, GitLab CI, or GitHub Actions) and the ability to integrate them with organizational processes.
• Knowledge of containerization and orchestration technologies (Docker, Docker Compose, Kubernetes).
• Ability to automate processes using various tools.
• Practical knowledge of scripting languages (e.g. Python, Bash, Groovy).
• Knowledge of monitoring and logging systems (e.g. Prometheus, Grafana, ELK Stack).
• Experience working in an Agile environment (Scrum/Kanban).
• Knowledge of network protocols, server configurations, and operating systems (Linux, Windows).
• Strong analytical and problem-solving skills: diagnosing and resolving complex infrastructure problems.
• Higher technical education (computer science, software engineering, telecommunications, or related field).
• Good command of the English language in speech and writing.
  
  

• Experience in implementing DevSecOps principles, including integrating security tools (e.g. OWASP ZAP) and automatic code and infrastructure vulnerability scanning.
• Experience in automating infrastructure management (Infrastructure as Code) and configuration using tools such as Ansible, Terraform, or Puppet.
• Experience in integrating automated tests with CI/CD pipelines.
• Technical certifications, e.g. AWS Certified DevOps Engineer, Kubernetes Administrator (CKA).
• Experience in migrating applications from monolithic to microservices architecture.
• Knowledge of processes and tools related to data management and archiving.
  
  

• Attractive salary based on an employment contract or B2B
• Stable employment in an international organization
• Work in an atmosphere of teamwork, trust, mutual respect, and assistance
• Possibility of remote work
• Work according to agile methodologies
• Attractive benefits package, flexible working hours
  
  

• Designing, implementing, and maintaining CI/CD processes to support fast and reliable software releases (Jenkins, Nexus, GitLab).
• Managing artifacts and dependencies using Nexus Repository Manager to ensure consistency and version control in projects.
• Creating and evolving automation scripts (e.g., in Groovy, Python, Bash) to streamline CI/CD processes.
• Optimizing build and deployment processes to reduce software delivery time.
• Monitoring, diagnosing, and resolving performance and availability-related issues.
• Ensuring the security of infrastructure and CI/CD processes following best practices.
• Implementing and maintaining tools for code quality analysis, e.g., SonarQube, as part of CI/CD processes.
• Creating and maintaining tools to support monitoring and logging (e.g., Prometheus, Grafana, ELK Stack).
• Developing and implementing incident management processes and disaster recovery strategies.
• Collaborating with development teams on code integration, project builds, automated testing (various levels of the testing pyramid), and dependency management.
• Actively participating in projects related to containerization and orchestration, using technologies such as Docker, Kubernetes.
• Defining and maintaining automation standards, technical documentation, and DevOps practices.
• Conducting training and mentoring on DevOps practices, CI/CD, and the tools used.
• Implementing integrations between CI/CD tools and automated testing systems and code quality analysis to ensure high-quality software at every stage of the project lifecycle.
• Creating, implementing, integrating, and administering internal tools supporting the organization.
  
  

• Minimum 3 years of experience in the role of DevOps Engineer or equivalent experience in a related technical role (e.g. Operating Systems Administrator).
• Practical knowledge of CI/CD tools (e.g. Jenkins, GitLab CI, or GitHub Actions) and the ability to integrate them with organizational processes.
• Knowledge of containerization and orchestration technologies (Docker, Docker Compose, Kubernetes).
• Ability to automate processes using various tools.
• Practical knowledge of scripting languages (e.g. Python, Bash, Groovy).
• Knowledge of monitoring and logging systems (e.g. Prometheus, Grafana, ELK Stack).
• Experience working in an Agile environment (Scrum/Kanban).
• Knowledge of network protocols, server configurations, and operating systems (Linux, Windows).
• Strong analytical and problem-solving skills: diagnosing and resolving complex infrastructure problems.
• Higher technical education (computer science, software engineering, telecommunications, or related field).
• Good command of the English language in speech and writing.
  
  

• Experience in implementing DevSecOps principles, including integrating security tools (e.g. OWASP ZAP) and automatic code and infrastructure vulnerability scanning.
• Experience in automating infrastructure management (Infrastructure as Code) and configuration using tools such as Ansible, Terraform, or Puppet.
• Experience in integrating automated tests with CI/CD pipelines.
• Technical certifications, e.g. AWS Certified DevOps Engineer, Kubernetes Administrator (CKA).
• Experience in migrating applications from monolithic to microservices architecture.
• Knowledge of processes and tools related to data management and archiving.
  
  

• Attractive salary based on an employment contract or B2B
• Stable employment in an international organization
• Work in an atmosphere of teamwork, trust, mutual respect, and assistance
• Possibility of remote work
• Work according to agile methodologies
• Attractive benefits package, flexible working hours
  
  

• Designing, implementing, and maintaining CI/CD processes to support fast and reliable software releases (Jenkins, Nexus, GitLab).
• Managing artifacts and dependencies using Nexus Repository Manager to ensure consistency and version control in projects.
• Creating and evolving automation scripts (e.g., in Groovy, Python, Bash) to streamline CI/CD processes.
• Optimizing build and deployment processes to reduce software delivery time.
• Monitoring, diagnosing, and resolving performance and availability-related issues.
• Ensuring the security of infrastructure and CI/CD processes following best practices.
• Implementing and maintaining tools for code quality analysis, e.g., SonarQube, as part of CI/CD processes.
• Creating and maintaining tools to support monitoring and logging (e.g., Prometheus, Grafana, ELK Stack).
• Developing and implementing incident management processes and disaster recovery strategies.
• Collaborating with development teams on code integration, project builds, automated testing (various levels of the testing pyramid), and dependency management.
• Actively participating in projects related to containerization and orchestration, using technologies such as Docker, Kubernetes.
• Defining and maintaining automation standards, technical documentation, and DevOps practices.
• Conducting training and mentoring on DevOps practices, CI/CD, and the tools used.
• Implementing integrations between CI/CD tools and automated testing systems and code quality analysis to ensure high-quality software at every stage of the project lifecycle.
• Creating, implementing, integrating, and administering internal tools supporting the organization.
  
  

• Minimum 3 years of experience in the role of DevOps Engineer or equivalent experience in a related technical role (e.g. Operating Systems Administrator).
• Practical knowledge of CI/CD tools (e.g. Jenkins, GitLab CI, or GitHub Actions) and the ability to integrate them with organizational processes.
• Knowledge of containerization and orchestration technologies (Docker, Docker Compose, Kubernetes).
• Ability to automate processes using various tools.
• Practical knowledge of scripting languages (e.g. Python, Bash, Groovy).
• Knowledge of monitoring and logging systems (e.g. Prometheus, Grafana, ELK Stack).
• Experience working in an Agile environment (Scrum/Kanban).
• Knowledge of network protocols, server configurations, and operating systems (Linux, Windows).
• Strong analytical and problem-solving skills: diagnosing and resolving complex infrastructure problems.
• Higher technical education (computer science, software engineering, telecommunications, or related field).
• Good command of the English language in speech and writing.
  
  

• Experience in implementing DevSecOps principles, including integrating security tools (e.g. OWASP ZAP) and automatic code and infrastructure vulnerability scanning.
• Experience in automating infrastructure management (Infrastructure as Code) and configuration using tools such as Ansible, Terraform, or Puppet.
• Experience in integrating automated tests with CI/CD pipelines.
• Technical certifications, e.g. AWS Certified DevOps Engineer, Kubernetes Administrator (CKA).
• Experience in migrating applications from monolithic to microservices architecture.
• Knowledge of processes and tools related to data management and archiving.
  
  

• Attractive salary based on an employment contract or B2B
• Stable employment in an international organization
• Work in an atmosphere of teamwork, trust, mutual respect, and assistance
• Possibility of remote work
• Work according to agile methodologies
• Attractive benefits package, flexible working hours
  
  

• Design, develop, and operate AI-powered services integrating orchestration tools, workflows, and cloud infrastructure
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for processing internal knowledge, including ingestion, indexing, and evaluation
• Integrate AI-driven workflows into existing enterprise platforms and backend systems
• Define and implement tool/function schemas, orchestration patterns, and prompt strategies, ensuring high-quality and secure outputs
• Develop multi-agent and agentic workflows leveraging frameworks such as LangGraph or LangChain
• Automate testing, evaluation, and monitoring of AI systems, including quality validation and observability mechanisms
• Contribute to architectural decisions and promote engineering best practices across the SDLC
• Participate in Agile ceremonies and collaborate closely with cross-functional teams
• Mentor team members, foster alignment on technical direction, and raise the overall engineering standard
• Ensure responsible AI usage by applying governance, security, and compliance principles
  
  

• Minimum 5 years of professional software engineering experience with strong backend expertise (Python preferred)
• Solid understanding of GenAI concepts, including LLM APIs, prompt engineering, RAG, tool/function calling, and agent orchestration
• Hands-on experience building production-grade LLM applications with focus on reliability, security, and observability
• Practical experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or similar
• Strong knowledge of LLM evaluation techniques, hallucination mitigation, and guardrail implementation
• Experience integrating AI services (e.g., Azure OpenAI or similar) with attention to timeouts, fallback mechanisms, and safe outputs
• Background in distributed systems and scalable architectures (concurrency, async I/O, caching, API-driven design)
• Experience designing microservices, serverless solutions, or containerized applications
• Strong knowledge of cloud platforms (preferably Azure) and AI-related services
• Familiarity with vector databases and search technologies (e.g., Azure AI Search)
• Solid understanding of CI/CD pipelines and infrastructure automation
• Proficiency with Git-based version control and collaborative development workflows
• Experience implementing logging, tracing, monitoring, and metrics for production systems
• Understanding of IAM, authentication/authorization patterns (JWT/OAuth), and secure secret management
• Experience building automated testing frameworks, including evaluation harnesses for AI solutions
• Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders
• Strong problem-solving mindset and ownership attitude
  
  

• Rate: 130 - 170 PLN/h + VAT
• Remote work
• Subsidy for peripherals in the amount of 500,00zł
• Working tool (MacBook Pro or Lenovo Legion 5)
• Co-financing of courses related to the position
• Benefits: MultiSport, Medicover

• Write production Python code (services, CLI tools, automation)
• Build and maintain CI/CD on GitLab
• Prototype quickly and turn successful experiments into production-ready solutions
• Improve reliability and operability (logging, metrics, monitoring/alerting)
  
  
  

• Actively use modern AI tools daily to accelerate coding, refactoring, debugging, testing, and documentation — while validating outputs, catching edge cases, and shipping production-quality code
  
  
  

• Own the vision and roadmap for ELS Automation tools; prioritize by impact/risk/effort
• Translate business needs into deliverables (plans, user stories, acceptance criteria, success metrics)
• Be the primary stakeholder interface: align requirements across engineering/release/ops and communicate trade-offs
• Drive outcomes: incident coordination when needed, post-mortems, and continuous improvements
  
  
  

• 8+ years in software engineering, with recent daily Python coding
• Strong GitLab CI / GitHub workflows (runners, pipelines)
• Solid Linux fundamentals (shell, processes, networking, packaging)
• Comfortable with observability (logs, metrics, monitoring, alerting)
• Advanced use of LLM/AI tools to speed up coding, refactoring, debugging, and tests, and validates outputs to production quality
• Product ownership mindset: can own a tool end-to-end, build/prioritize a roadmap, and translate ambiguous requirements into deliverables
• Comfortable working in a fast-changing, high-ambiguity environment; able to iterate quickly and adapt priorities
• Startup and/or "builder" experience: has shipped own projects or worked in a startup-like setting with end-to-end responsibility
• Strong English communication with both technical and non-technical stakeholders
  
  
  

• A focus on professional development
• Interesting and challenging projects
• Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide
• Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves
• Compensation for private medical insurance
• Co-working and gym/sports reimbursement
• Budget for education
• The opportunity to receive a reward for the most innovative idea that the company can patent
  
  

HCLTech is a global technology company, home to 219,000+ people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.

Our purpose is to bring together the best of technology and our people to supercharge progress. We’re supercharging progress for everyone, everywhere – our clients, partners and their stakeholders, our people, communities, and the planet.

Requirement:

• IT Enthusiasts: You’ve already dipped your toes into the world of IT helpdesks and are keen to deepen your skills with ServiceNow, ITIL-based processes, and customer support in a professional environment.

• Language Pros: Fluent in German and English? Perfect. We’re talking C2 or native-level German, plus at least solid B2–C1 English so you can handle calls, emails, and documentation confidently. Any other European language proficiency is a huge boost.

• Analytical Minds: You enjoy getting to the bottom of technical issues, can break down problems logically, and have a genuine drive to help users by finding practical, reliable solutions.

• People Persons: This role is all about engaging with customers and IT specialists. You’re comfortable in a dynamic, sometimes pressurized environment and bring the soft skills to keep conversations calm, clear, and constructive.

• IT Service Champs: You’ve got a few years of hands-on experience in IT support or service desk roles, and bring solid working knowledge of ITIL and customer service best practices—especially incident handling, request fulfilment, and guiding users from first contact through to resolution.

Daily Tasks Overview:

• Handling Incidents & Requests: You’ll be the first point of contact, receiving and logging various incidents and requests, mostly through our online portal, but occasionally via direct phone calls.

• Troubleshooting & Resolution: Using your knowledge of Volvo’s business apps, personal skills, and our knowledge base, you’ll resolve issues and communicate with the team for support.

• Case Transfer/Escalation: When needed, you’ll escalate cases to specialized support groups and ensure they’re in good hands.

• Tracking & Follow-Up: Keep an eye on the progress of cases you’ve transferred to other teams and follow up to ensure resolution.

• Direct User Contact: You’ll have direct interactions with users and customers from Germany, Switzerland, and Austria, both over the phone and through our online portal.

• Problem-Solving: Tackle issues that pop up in Volvo Dealer and Workshop applications, applying your business know-how.

• Shift Work: Our shifts are pretty standard, running from 07:00 to 18:00.

Why Us?

• We are investing in your growth, offering learning and career development opportunities at every level to help you find your spark;

• We offer a virtual-first work environment, promoting a good work-life balance and real flexibility;

• Our company is extremely diverse with representation of 165 nationalities;

• We offer the opportunity to work with colleagues across the globe;

• We offer comprehensive benefits for all employees;

• We are a certified great place to work and a top employer in 25 countries including Romania, offering a positive work environment that values employee recognition and respect.

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

• Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.


• Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.


• Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).


• Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.


• Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.


• Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).


• Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).


• Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).

• Strong hands-on experience with Kubernetes in production (preferably AKS).


• Solid Terraform expertise (IaC best practices, multi-env setups).


• Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.


• Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling.


• Understanding of CI/CD, release processes, and production-grade operations.


• Ability to work under tight timelines and deliver pragmatically.

Nice to Have

• Experience building internal developer platforms or “paved roads” for engineering teams.


• Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability.


• Exposure to RAG architectures, vector databases, and agentic patterns.


• Experience with Kubeflow, Argo, and ML lifecycle tooling.

Engagement Type

• Long-term B2B contract.

Team

• You will join a team of 5, with 3 AI Platform Engineers being added.

Location / Timezone

• Remote within Europe (preferred: Croatia, Poland, Portugal, Serbia).


• European working hours.


• Occasionally available for meetings up to 10:00 AM PST (US overlap).

Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.

We are seeking a skilled Data Engineer to strengthen our data platform team. Our team is tasked with building and maintaining the data platform that powers the entire organization; from ingestion to analytics and reporting; from valuable viewership and contextual datasets to scalable applications that enable data-driven decision making. While our organization is hybrid, you'll be building mostly on AWS, Databricks, BigQuery and Snowflake technology. The ideal candidate will have strong experience in cloud-based data engineering, distributed data processing, and data governance and metadata management to support analytics, reporting, and machine learning use cases.

• Build scalable data product architecture, capable of supporting both internal and external data consumers
• Responsible for modernizing our data frameworks and integrations with Databricks and BigQuery
• Upgrade and reduce toil for developers on Apache Airflow
• Develop and optimize data transformations using Apache Spark (PySpark/Scala)
• Build procedures and guidelines to help teams operate with data
• Identify bottlenecks in our development lifecycle and find solutions to improve them
• Drive innovation throughout the tech org by evangelizing and educating teams on best practices and new technologies
• Work directly with our data teams and FinOps teams to drive efforts that span across teams
• Implement data governance, access control, and auditing using Databricks Unity Catalog
• Build and integrate automated, reusable data validation suites using data quality frameworks (Great Expectations or similar)Implement monitoring and anomaly detection systems for data quality, reliability and performance
• Develop and manage REST APIs to support secure data access, automation, and integration
• Collaborate with data scientists, analysts, and software engineers to deliver governed, reusable data assets
• Implement monitoring, logging, and alerting for data workflows
• Optimize cost and performance of cloud-based data infrastructure

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 5+ years of experience in data engineering or a related role
• Strong hands-on experience with Databricks, Apache Spark and BigQuery or Snowflake
• Proven experience with Modern table formats such as Delta Lake and Iceberg
• A deep understanding of the data lifecycle and how teams operate with data
• Hands-on experience implementing data governance and metadata management using Databricks Unity Catalog
• Experience managing and extending Apache Airflow (custom operators, plugins, infrastructure)
• Experience with Kubernetes
• Solid experience with AWS cloud services, especially S3 and data-related services
• Experience with data validation and data quality principles and working with SLA systems
• Proficiency in Python and SQLExperience with data modeling, data lakes, and lakehouse architectures and a strong understanding of distributed systems and big data processing
• 
  
• Preferred Qualifications
• Experience with Infrastructure as Code (Terraform)
• Knowledge of CI/CD pipelines for data platforms
• Experience working in Agile/Scrum environments
• AWS, Databricks, or cloud data certifications
• Experience working with data clean room environments, including implementation or collaboration within Snowflake, Databricks, or BigQuery ecosystems
• Experience with streaming data pipelines (Kafka, Flink)
  
  

Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

• Architect, develop, and scale backend services that power our AI-driven product quality platform.
• Design and optimize high-throughput data pipelines and APIs capable of processing events in close to real time.
• Drive system reliability, availability, and observability in a production environment.
• Build and own API services to securely handle a large amount of data.
• Lead technical design reviews, mentor peers, and set engineering best practices.
• Collaborate with product, ML, and infrastructure teams to deliver new capabilities end-to-end.
• Write clear documentation and specifications for scalable, maintainable systems.
• Integrate with databases, message brokers, and third-party systems.
• Own services end-to-end, from design to production support.
• Advocate for best practices in coding, testing, and deployment.
  
  

• 8 years of software engineering experience.
• Demonstrated enthusiasm for applying AI solutions and tools to solve complex, real-world problems.
• Strong knowledge of Java core and OOP principles.
• Hands-on experience with Spring Boot and ORM frameworks (Hibernate/JPA).
• Experience designing and building REST APIs.
• Microservices architecture experience in production environments.
• Strong background in cloud-native development: Kubernetes, containerized deployments, and CI/CD pipelines.
• Hands-on AWS experience in production.
• Experience with relational databases such as MySQL, PostgreSQL, Oracle, or MS SQL.
• Work directly with managed and unmanaged cloud services, including databases, data streams, message queues, container orchestrators, job automation systems, and continuous build, integration, and deployment systems.
• Experience with Docker and containerization.
• Strong debugging and problem-solving skills.
• Apply and advocate for healthy coding practices, AI as a software copilot, Agile methodologies, and communication strategies.
• At least an Intermediate level of English (both spoken and written).
  
  

• Familiarity with Large Language Models (LLMs) and applied AI use cases.
• Exposure to high-throughput event streaming (e.g., Kafka, Kinesis, or similar).
• Experience building high-throughput or data-intensive systems.
• Performance tuning and optimization experience.
• Understanding of observability, logging, and monitoring.
• Exposure to NoSQL databases or ElasticSearch.
• Experience in SaaS or product-based companies.
  
  

• Computer Science or related degree preferred.
• AWS certification is a plus.
• Oracle Java certifications are a plus.

• An experienced professional with 4+ years of hands-on work in DevOps, CI/CD, or release engineering within Salesforce ecosystems
• Highly skilled in Copado with deep practical knowledge of CI/CD and DevOps automation
• Confident in designing, implementing, and optimizing Copado-based CI/CD pipelines for secure and reliable delivery at scale
• Proficient in establishing release governance, including audit trails, compliance controls, and user permission frameworks
• Well-versed in Git-based version control, branching models, and multi-environment release strategies for Salesforce programs
• Strong in understanding the Salesforce development lifecycle, metadata management, and platform architecture
• Grounded in DevOps best practices across continuous integration, continuous delivery, and repeatable deployments
• Capable of acting as a technical point of contact for deployment and release issues and driving resolution across teams
• Comfortable mentoring and enabling developers on Copado standards, patterns, and best practices
• Adept at monitoring, troubleshooting, and improving pipeline performance, security, and reliability
• Able to design and extend Copado capabilities using functions, job templates, and custom extensions
• Familiar with Azure Cloud in the context of DevOps delivery and enterprise environments
• Clear and structured in creating documentation for deployment processes, branching strategies, and Copado configurations
• Collaborative in working with product managers, developers, QA teams, and stakeholders in fast-paced release cycles
• Analytical and practical in solving complex release and deployment challenges
• Effective in communication and stakeholder management across technical and non-technical audiences
  
  
  

• Define, implement, and optimize CI/CD pipelines in Copado to automate and streamline software delivery
• Establish and enforce release governance policies, including audit trails, compliance controls, and permission frameworks
• Architect and implement Git-based version control and branching strategies across multiple Salesforce environments
• Lead deployment-related technical discussions and mentor teams on Copado best practices and operating standards
• Monitor, troubleshoot, and enhance pipeline performance to ensure secure and reliable releases at scale
• Design and extend Copado capabilities using functions, job templates, and custom extensions aligned with program needs
• Maintain clear and comprehensive documentation for deployment processes, branching strategies, and Copado configurations
• Explore and apply new Copado features, integrations, and AI-powered capabilities to drive continuous improvement
• Partner with product, engineering, and QA stakeholders to ensure effective planning, coordination, and successful releases
  
  
  

• Care for your and your family’s wellness with a health insurance package
• Embrace wide career opportunities, challenging projects, technologies, and a clear career path with SoftServe’s People Excellence program
• Provide access to 11,300+ learning solutions with SoftServe University and Udemy Business
• Support gaining certifications from leading providers (Google, AWS & others)
• Recognize Game Changers who represent our best talent, top contributors, and creative minds in the annual SoftServe Awards
• Create an exceptional customer experience and impact the company's global success, and be recognized by the Customer Hero Program
• Empower scaling expertise with others by joining the Mentoring Program
  
  
  

We are an early-stage startup building innovative solutions in the real estate domain. We're looking for a DevOps Engineer to help us design, implement, and maintain a robust, scalable, and secure infrastructure as we grow.

Responsibilities:

• Design, implement, and maintain CI/CD pipelines for multiple environments.
• Manage and optimize cloud infrastructure with a strong emphasis on security best practices.
• Implement and maintain monitoring, logging, and alerting systems.
• Conduct security reviews, identify vulnerabilities, and define mitigation strategies.
• Automate infrastructure provisioning using laC tools (Terraform, CloudFormation, etc.).
• Collaborate closely with backend and product teams on deployment strategies.
• Ensure compliance with data protection and security standards relevant to the real estate domain.

Focused Tasks:

• Set up and maintain secrets management
• Establish secure access control, network policies, and identity management.
• Perform system hardening, audits, and risk assessments.
• Integrate automated security testing into CI/CD pipelines.
• Implement backup, disaster recovery, and incident response procedures.

Requirements:

• 3+ years of experience as a DevOps or Site Reliability Engineer.
• Solid experience with cloud platforms.
• Strong background in security, including vulnerability assessment and remediation.
• Hands-on experience with Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, GitLab Cl, Jenkins).
• Good understanding of networking, firewalls, VPNs, and zero-trust principles.
• Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog, etc.).
• Strong scripting skills
• Excellent communication skills and ability to work autonomously.

Nice to Have:

• Experience in early-stage startups.
• Knowledge of compliance frameworks (SOC2, ISO 27001, GDPR).
• Familiarity with real estate data platforms or proptech ecosystems.

What We Offer:

• Fully remote, flexible schedule.
• Part-time commitment (10-20 hrs/week) with the possibility to grow.
• Opportunity to build infrastructure from scratch and influence technical decisions.
• Work with a small, high-impact, international team.

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why this role matters now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies -- Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

As our Senior DevOps Engineer, you’ll build the DevOps function from the ground up. You’ll lead the initial setup of our DevOps and platform engineering practices, define standards and infrastructure strategy

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote with overlap to our New York City HQ (EST)

Where you'll create impact

• Design and deliver an internal platform for personal or feature environments to empower developers and improve velocity
• Build and maintain AWS-based infrastructure to ensure optimal performance, scalability, and security
• Develop CI/CD pipelines to streamline deployments and automate release processes
• Implement observability tooling (logging, monitoring, alerting) to detect and resolve issues proactively
• Collaborate closely with developers to identify bottlenecks, improve delivery and enhance system reliability
• Ensure high availability and uptime through effective monitoring, incident response, and recovery strategies
• Promote infrastructure automation and Infrastructure as Code best practices
• Document systems, configurations and incident processes for team-wide clarity and consistency
• Participate in on-call rotations or coordinate time zone coverage to ensure 24-hour reliability across regions

What sets you up for success

• Hardcore work ethic and high agency
• 10+ years of experience or at least 5 years of strong AWS focused engineering experience
• Deep understanding of AWS services (EC2, ECS/EKS, RDS, IAM, networking, etc.)
• Experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
• Strong background in CI/CD systems (GitHub Actions, Jenkins or similar)
• Familiarity with containerization (Docker, Kubernetes) and modern deployment workflows
• Experience implementing monitoring and observability solutions (Prometheus, Grafana, Datadog, etc.)
• Comfortable working independently to build new systems and processes from the ground up
• Time zone flexibility to support partial 24-hour coverage is preferred

How you operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Compensation & Benefits

• Equity: $35,000 - $60,000
• Base Salary: $100,000 - $165,000 
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 27 PTO days (incl. public holidays)
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

Smarter is a management company responsible for defining the overall strategy of investment activities and ensuring optimal management and development strategies for each business unit within the group. The company's primary areas of business interests encompass investment activities, information technologies, and trading.

For our product, Pine Software Technology Ltd - a software company specializing in trading technology solutions for regulated brokers and trading firms. We build SaaS products that support electronic trading, brokerage operations, risk management, and financial data analysis.

We are looking for a Lead Python BE/Data Engineer for the Market Data Platform.

Responsibilities

• Lead the design and development of backend services for a Market Data / Trading Platform.
• Own architectural decisions around data storage, data access patterns, and service boundaries.
• Build and maintain high-performance Python services using FastAPI + asyncio.
• Work with PostgreSQL as the primary database, ensuring correct schema design, performance tuning, partitioning, and indexing strategies.
• Implement scalable APIs for market data retrieval, analytics, and internal platform use cases.
• Design and maintain asynchronous pipelines for data ingestion, processing, and transformation.
• Ensure system reliability through observability, logging, monitoring, alerting, and incident-response readiness.
• Establish best engineering practices: code-review culture, testing standards, and CI/CD discipline.
• Mentor engineers and drive the technical growth of the team.
• Collaborate with other platform teams (streaming / product teams) to align data contracts and domain boundaries.

Job requirements

• 6+ years of professional experience as a Python Engineer and 1+ year as a Lead.
• Strong backend engineering background with a focus on distributed systems and data-intensive applications.
• Experience designing microservices and event-driven architectures. Tooling: Apache Kafka, RabbitMQ etc.
• Hands-on expertise with Python async stack (asyncio) and modern backend frameworks (FastAPI).
• Strong practical experience with PostgreSQL: schema design, query optimization, indexing, partitioning, replication strategies.
• Experience building production systems with high throughput and low latency requirements.
• Experience with containerization and deployment practices (Docker, CI/CD).
• Data engineering experience (ETL pipelines, streaming, data lakes, warehousing). Tooling: Pandas/Polars, Apache Spark, etc.
• Strong engineering discipline: clean architecture, testing, maintainability.
• English level: B1-B2.

Nice to Have

• ClickHouse or time-series databases, any NoSQL Solutions.
• Kubernetes.
• Domain experience in trading/market data systems.
• Experience with event sourcing.
• Patterns: CQRS, Materialized Views, Snapshoting etc.
• Experience with cloud services (AWS S3, IAM, etc.)

What We Offer

• Care from Day One — medical insurance from your first day, including dental care, massage, and professional psychological support.
• Work-Life Balance — 25 days of paid vacation + 30 days of paid sick leave.
• Investment in Your Energy — partial reimbursement for sports and fitness activities.
• Growth & Learning — coverage for English or Ukrainian language courses and a dedicated professional development budget.
• Knowledge Library — office books and access to the Kuka online library.
• Island Relaxation — up to 14 days per year at the company villa in Cyprus.
• Modern Workspaces — Unit City (Ukraine) with full power-backup infrastructure or a modern office in Larnaca, Cyprus.

Join the Pine Software team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!

Pine Software is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note, that only shortlisted candidates will be contacted. Thank you for considering Pine as your next career move!

• Design, develop, and deploy machine learning models and solutions, leveraging tools such as LangGraph and MLflow for orchestration and lifecycle management.
• Collaborate on building and maintaining scalable data and feature pipeline infrastructure for real time and batch processing using tools like BigQuery, BigTable, Dataflow, Composer(Airflow), PubSub, and Cloud Run to support ML model training and inference.
• Develop and implement robust strategies for model monitoring and observability to detect model drift, bias, and performance degradation, leveraging tools like Vertex AI Model Monitoring and custom dashboards.
• Optimize ML model inference performance to improve latency and cost-efficiency of AI applications.
• Ensure the overall reliability, performance, and scalability of the ML models and data infrastructure platform, including proactive identification and resolution of issues related to model performance and data quality.
• Troubleshoot and resolve complex issues impacting ML models, data pipelines, and production AI system.
• Ensure AI/ML models and workflows meet data governance, security, and compliance requirements, specifically for real-money gaming.
  
  

• 1+ years of experience as an ML Engineer, with a focus on developing and deploying machine learning models in production environments.
• Strong experience in Google Cloud Platform (GCP), including services relevant to ML and data infrastructure such as BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub and Composer (Airflow).
• Solid grasp of containerization (Docker, Kubernetes) and experience with Kubernetes orchestration platforms like GKE for deploying ML services.
• Experience building and deploying scalable data pipelines and machine learning models in production environments.
• Understanding of model monitoring, logging, and observability best practices for ML models and applications.
• Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with AI orchestration concepts using tools like LangGraph or LangChain is a bonus.
• Bonus experience includes working in gaming, real-time fraud detection, or AI personalization systems and Agentic workflows.

Position: Client & Project coordinator

Location: Remote or Hybrid

Experience: 2+ years of experience in project coordination role

About Us

ODDIN.Design is a well established Ukrainian engineering and design company specializing in structural design, automation, and IT solutions. We serve clients across Scandinavia, the UK, and the EU. As we expand, we’re looking for a reliable, proactive, and detail-oriented coordinator to support our sales, and engineering departments.

Key Responsibilities

Client communication

• Scheduling calls and meetings

• Following up on emails and missing inputs

• Sharing updates, documents, and deliverables

Project coordination

• Tracking tasks, deadlines, and dependencies

• Updating schedules, trackers, or PM tools

• Preparing agendas, notes, and status reports

Administrative support

• Managing documentation and approvals

• Logging change requests and issues

• Supporting invoicing, contracts, or onboarding

Requirements

• 2+ years of experience in administrative, executive assistant, or project coordination role

• Strong organizational and multitasking skills

• Excellent written and spoken English (B2+ required)

• Comfortable with digital tools: Google Docs, Sheets, Wrike, Notion, HubSpot, or similar

• Responsible, fast learner, proactive communicator

• Interest in engineering, architecture, or IT a plus

We offer

• Friendly and supportive team

• Opportunity to grow

• Flexible working hours

• Approximate salary: €1,350 (negotiable based on experience)

• 0,5 years of experience in software development, data science, or ML (internships or strong personal projects).
• Solid basic skills in Python and core data/ML libraries (e.g., NumPy, pandas, Scikit-learn).
• Understanding of fundamental ML concepts (datasets, train/validation split, basic metrics, overfitting).
• Practical familiarity with generative AI / LLMs: – regular use of tools like ChatGPT, Copilot or similar for coding and data tasks; – basic understanding of prompts, context windows, and common limitations (hallucinations, privacy, bias).
• High motivation to learn, ask questions, and accept feedback.
• Organized and responsible: able to follow a spec, document work, and meet agreed timelines.
• Strong Upper-Intermediate English.
  
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (completed or in the final year of study).
• Course work, pet projects, or a thesis related to ML, NLP, or Generative AI.
• Basic exposure to RAG, embeddings, or vector databases (from articles, courses, or small experiments).
• Familiarity with at least one cloud platform (Azure, AWS, or GCP) from labs or online courses.
• Experience with Jupyter notebooks, Git, and simple CI/CD or MLOps tools (even at a “student project” level).
• Participation in hackathons, Kaggle competitions, or open-source projects.
  
  
  

• Rapidly prototype and iterate on ML / GenAI ideas in notebooks and scripts, turning high-level concepts into small PoCs and demo flows.
• Implement well-defined tasks in Python (data preprocessing, basic model training, evaluation scripts, and utility functions) as part of prototypes and production-oriented components.
• Assist in experiments with LLMs and GenAI APIs (prompt variants, small workflows, simple RAG setups) under the guidance of senior engineers, proactively suggesting new options and documenting what works and what doesn’t.
• Use GenAI tools to support your daily work (coding, tests, documentation, exploratory analysis) and capture key findings in a clear, structured way.
• Prepare and clean datasets, run experiments, and summarize results in concise formats (tables, short reports, simple dashboards).
• Help build and maintain demo environments and internal PoCs for ML / GenAI use cases, keeping them reproducible and easy to reuse.
• Follow coding standards, version control practices, and basic quality processes (code reviews, simple tests, logging).
• Actively learn from senior team members, ask questions, and gradually take ownership of small components within larger solutions.
  
  
  

Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely.

What project we have for you

Designing the MCP Server for the client’s API from scratch.

This project focuses on the development of a robust and scalable MCP server. This server will act as a vital bridge, enabling AI agents and other MCP-compatible clients to intelligently interact with Client’s Location APIs.

The goal is to create a reliable, performant, and flexible MCP platform for navigation systems. You will help design and implement MCP servers and clients with LLM/SLM fine-tuning to reduce the latency and cost of the services, with tracing and logging services.

What you will do

• Designing, developing, and maintaining the backend components for the MCP servers
• Implementing the logic to interface with a diverse set of Location APIs, ensuring efficient and reliable data exchange.
• Fine tune LLMs and SLMs depending on the project needs.
• Defining the capabilities and resources that the MCP server will expose to clients, in alignment with the MCP specification.
• Write and maintain logging, tracing, and visualization parts of the project using Langfuse, Prometheus, and Grafana.
• Ensure system performance, reliability, and scalability through clean architecture, testing, and CI/CD practices.
• Participate in architecture and design discussions and contribute to technical documentation.
• Writing clean, well-documented, and testable code to ensure the quality and maintainability of the server.
• Collaborating with cross-functional teams, including product managers and other engineering teams, to define requirements and deliver high-quality solutions.

What you need for this

• 3+ years of experience in Python and backend development.
• Hands-on experience related to building systems that use LLMs, either RAG systems or MCP servers, which can include technologies like vector databases, LangChain, Fast API.
• Strong understanding of LLMs and their usage (agentic workflows, MCP, and similar).
• Experience with AWS cloud platforms – especially S3, Lambda, SageMaker and BedRock models.
• Knowledge of CI/CD pipelines, automated testing, and modern development practices.
• Strong understanding of software design patterns, data structures, and scalable backend architectures.
• Experience building low-latency, high-performance server-side applications.
• Strong communication and collaboration skills to effectively interact with business stakeholders and technical teams.

Nice to have:

• AWS certification regarding AI or DevOps practices.
• LLM/SLM fine tuning experience is great bonus
• Experience using ML evaluation/training frameworks like MLFlow or SageMaker.
• Experience working with containerization (Docker) and orchestration (Kubernetes).
• Exposure model-serving frameworks or LLM inference tools.
• Rust experience is a nice bonus

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

• Duty Manage in the absence of the next level Leader when required
• Champion new ways of working within stores through an open mindset and positive attitude
• Leads colleagues in delivery of task prioritising customer first
• Plans, allocates and follows through on delivery of task to a consistent standard across the store
• Drives on the job productivity
• Supports colleagues through coaching and feedback
• Uses MI to take action to drive performance
• Helps maintain a safe and legal environment for colleagues and customers
• Supports the delivery of an inspirational, improved and consistent visual customer journey instore which inspires our customers to shop and buy more often
  
  
  

• Delivers great standards and service by putting the customer first
• Acts on customer feedback to deliver improvement
• Ensures the delivery of brilliant basics
• Coach the team to deliver excellent standards of product presentation
• Supports the delivery of plan A
• Provides regular and timely feedback to line manager to support colleague performance
• Supports with the training and coaching of colleagues maximising digital tools and channels
• Identifies colleagues for recognition and celebrate success within the store
• Provides feedback to BIG to improve colleague experience
• Supports the Team Manager with the delivery of store selling and cost targets by utilising MI to identify opportunities and takes action
• Role models new ways of working through the use of digital tools
• Allocates resource efficiently to deliver process, task and service ensuring activity is completed consistently and productively
• Delivers operational excellence ensuring all processes and tasks are delivered in line with business expectation
• Maintains a safe and legal store environment
• Supports visual merchandising updates across all launches, events and campaigns
  
  
  

• Understands how M&S operates, it’s strategy, future and the role they play
• Effectively manages own reactions and responses around change
• Helps colleagues to develop by listening, asking questions and giving feedback to encourage reflection and different thinking
• Sets performance objectives for self in conjunction with line manager and in line with business plans
• Takes accountability for planning and managing own work efficiently to ensure objectives are met
• Treats all colleagues the fairly, understanding that different people will provide different perspectives and have different needs
• Builds positive relationships by being a good listener and getting to know people by establishing a connection
• In control of their own reactions and considers how to share their perspective to create better reaction for team
  
  
  

• Support the delivery of excellent customer service and KPI’s across the store
• Good level of digital capability and can access and utilise relevant systems
• Good knowledge of the commercial operation, brilliant basics and operational excellence
• Current working knowledge of all VM principles
• A good communicator with the ability to build relationships and work within a team
• A good knowledge of the legal requirements associated with the role of a customer assistant and when duty managing
• Maintain high presentation standards, attention to detail and deliver on time, right first time
• Interpret data relevant to the role
• Demonstrates flexibility and adaptability to change
  
  
  

• Customers
• Colleagues
• Store Leadership
• BIG

About Ekco

🚀 Founded in 2016, Ekco has quickly become one of Europe’s fastest-growing cloud solution providers and your trusted security-first Managed Service Provider.

IT leaders choose Ekco to drive operational efficiency, scale smarter and stay ahead of risk – powered by local expertise, delivered at European scale.

We specialise in helping organisations advance their cloud maturity guiding transformation, strengthening security, and maximising the value of their technology investments.

☁️ In simple terms: we help organisations modernise with confidence securing their systems, optimising their cloud, and keeping them resilient in a rapidly changing world.

🌍 Today, we’re a thriving team of 1,000+ talented and supportive colleagues across the UK, Ireland, Benelux, South Africa, and Malaysia—and we’re continuing to grow.

At Ekco, how we work matters as much as what we deliver. Our people live by four core values that shape everything we do:

• On It: We take ownership, follow through, and get things done.
• All In : We collaborate, support each other, and commit fully to shared goals.
• Connected: We build trusted relationships with colleagues, clients, and partners.
• Hungry to Grow: We stay curious, keep learning, and push ourselves to the next level.

🏠If these values resonate with you, you’ll feel right at home here.

The Role

Day-to-day at Ekco:

We’re looking for an experienced Azure Cloud Platform Engineer to design, build, and operate secure, enterprise-grade Azure platforms for mid-market and enterprise clients.

You’ll play a key role in delivering Azure Landing Zones and shared platform services using Terraform Infrastructure as Code, helping clients adopt Azure in a way that is secure, scalable, and ready for long-term operation. This is a hands-on, client-facing role that combines deep Azure expertise with strong consultancy skills.

What you’ll be responsible for:

· Design and deliver Azure Landing Zones aligned to Microsoft Cloud Adoption Framework and enterprise best practices

· Build and maintain Azure platforms using Terraform, including reusable modules and CI/CD pipelines

· Implement core Azure platform services: networking, identity (Entra ID), governance, security, monitoring, and logging

· Embed security‑by‑design using Azure Policy, RBAC, Defender for Cloud, and identity controls

· Act as a technical authority on Azure platform decisions during client engagements

· Support platforms through handover and early‑life support, ensuring operational readiness

· Collaborate closely with architecture, project management, and service delivery teams

· Mentor and coach other engineers, contributing to internal standards and best practices

Key Requirements:

· Strong hands‑on experience with Microsoft Azure in mid‑market or enterprise environments

· Proven delivery of Azure Landing Zones or enterprise‑scale Azure foundations

· Deep experience with Terraform, including modules, state management, and CI/CD integration

· Solid understanding of cloud security, governance, and compliance in Azure

· Experience supporting production Azure environments and troubleshooting complex issues

· Confident communicator with experience working in client‑facing delivery roles

· Typically 5+ years’ experience in cloud, infrastructure, or platform engineering roles

Nice to Have:

· Experience with Jenkins, GitHub, or GitLab

· Exposure to hybrid or multi‑cloud environments

· Familiarity with Azure security tooling, SIEM integration, or Cloud Centre of Excellence models

Benefits / Perks

• ☀️ Time Off: 25 days annual leave + public holidays

• 🎂 Birthday Leave: One extra day off to celebrate

• 💰 Company Pension Scheme

• 📞 Employee Assistance Programme (EAP) for wellbeing support

• 🏃 ♀️ EkcOlympics: Global team activity challenges

• 📚 Unlimited access to Pluralsight for continuous development

• 🌱 Real opportunities to grow, including international progression

Why Ekco

• ⭐️ Microsoft’s 2023 Rising Star Security Partner of the Year

• 🚀 First Irish Microsoft MSP to achieve all four Microsoft Security Specializations

• 🏅 Ranked 4th fastest-growing technology company in the Deloitte Fast50 Awards

• 🌈 A culture rooted in diversity, equality, inclusion & belonging

• 🎉 A commitment to internal mobility and career progression

• ✨ Flexible, family-friendly working at the heart of our culture

• 🔐 Proud to be your trusted security-first Managed Service Provider chosen by IT leaders to drive operational efficiency, scale smarter and stay ahead of risk.

Life Existing Business Administrator

Location: Dublin, Cherrywood

We are looking for an ambitious, enthusiastic and driven individual to join our Life Existing Business (EB) as a Life EB Administrator. The Life EB team looks after a couple of thousand tasks per month (across onshore and offshore), with everything from conversions, SPIs, quotes, and premium increases, to bank and other assignments, changes of customer details, cancellations and general enquiries.

Duties & Responsibilities:

• To gradually learn the various Onshore administration tasks and deliver excellent service to our customers, both in terms of turnaround time and accuracy
• To support our Offshore team in helping Life Existing Business deliver high-level customer service
• To maintain a strong risk and control focus, logging and seeing through to completion (on time) any errors or complaints, looking for the real root causes and identifying corrective actions to reduce the likelihood of a repeat
• To support the Team Leader/others as the need arises in handling urgent or more complex cases

Skills & Experience:

• Strong customer focus, desire to deliver excellent service (ideally demonstration of previous successes in this area). Comfortable on the phone and a good listener
• High attention to detail and the ability to learn new skills and process' quickly
• Strong collaborative style, as you will need to work closely with a range of other team members onshore, offshore and other stakeholders
• Ability to question current processes and suggest improvements to benefit our customers and improve efficiency
• Knowledge of Term, Mortgage, Income Protection, Savings and Investment products an advantage

What will you get for this role?

Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.

• A competitive market leading salary depending on skills, experience, and qualifications
• Generous pension (employee contribution matching of up to 14% if you contribute 8%)
• Annual performance related bonus and pay review
• Holiday allowance of 25 days plus bank holidays, and the option to buy/sell up to 5 additional days
• Generous Health & dental insurance contributions after six months
• Aviva Matching Share Plan and Save As You Earn scheme and Approved Profit Share Scheme
• TaxSaver Travel Scheme
• Up to 40% discount for some Aviva products plus discounts for Friends and Family
• Professional qualification support and transparent career progression plans
• Brilliantly supportive policies including parental and carer’s leave
• Flexible benefits to suit you, including sustainability options such as cycle to work
• Make a difference, be part of our Aviva Communities and use your paid volunteering days to help others
• We take your wellbeing seriously with lots of support and tools

Aviva is for Everyone

Our diversity and inclusion policies and initiatives are shaping an environment where everyone feels welcome regardless of age, disability, race, ethnicity, gender, gender identity, religion, culture, sexual orientation, national origin, marital status, pregnancy, maternity or those with other caring responsibilities. Our approach helps to ensure that Aviva is a place which values difference and provides equal opportunities for all.

We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

• Design, develop and implement MasterCard Technologies next generation integration wiring framework that supports MasterCard's business needs in realizing business value and agility, through implementation of developed executable codes in implementing message patterns, formats, protocols, security models and interfaces.
• Mentor other software engineers within the team and MasterCard Technologies organization
• Is the Subject Matter Expert of Shared Services initiative in liaison with other technology partners, business partners and vendors.
• Lead day-to-day system development and maintenance activities of the team to meet deliverables
• Perform architecture/design/code review for quality, security and adherence to standards and best practicies
• Works closely with Project Managers and Senior Architects in development and implementation of Shared Services processes and activities
• Participate and perform Proof-of-concepts within MasterCard Technologies to evaluate software/frameworks/methodologies to enable MasterCard to be better, faster and cheaper.
  
  
  

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
• Basic understanding of Java, gRPC, HTTP2.0, Logging and monitoring.
• Intermediate understanding of NGINX.
• Understanding of Chef Infra and Chef Habitat based pipelines, setup and operate Jenkins Jobs.
• Coding or scripting exposure.
• Appetite for change and pushing the boundaries of what can be done with automation. Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth.
• Experience with algorithms, data structures, scripting, pipeline management, and software design
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Interest in designing, analyzing, and troubleshooting large-scale distributed systems.
• Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.
• Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system.
• Comfortable collaborating with cross-functional teams to ensure that expected system behavior is understood and monitoring exists to detect anomalies.
  
  
  

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

• Lead end‑to‑end QA strategy, planning, and execution for AMS product lines and modernization initiatives.
• Create, maintain, and execute comprehensive test plans, test cases, and automation suites aligned with AMS architecture.
• Conduct functional, regression, system, integration, performance, and UAT testing across AMS modules (AODB, RMS, ESB/integration, resource management, reporting, rules engine).
• Ensure full traceability from requirements to validation using OpenText ALM Octane, managing test requirements, user stories, and test suites across releases.
• Validate new AMS capabilities such as reporting modernization, enhanced alerting, rules engine updates, improved import/export workflows, UI enhancements, and cloud‑native behavior.
• Drive defect analysis, root‑cause diagnostics, and resolution working closely with engineering teams.
• Oversee, coordinate, and mentor distributed QA contributors including offshore testing teams.
• Contribute to or support Octane integration with CI/CD tools (Jenkins, Azure DevOps, Git-based pipelines) to enable continuous validation.
• Assess quality risks and maintain traceability from business/technical requirements to test coverage and sign‑off.
• Ensure adherence to security, data residency, audit logging, performance, and compliance requirements.
• Promote QA best practices, continuous improvement, and a quality‑driven mindset across all AMS teams.
  
  

• Significant experience leading QA for complex enterprise or mission‑critical systems (aviation/transportation preferred).
• Strong understanding of system integration, operational data flows, rules engines, reporting ecosystems, and large‑scale transactional platforms.
• Hands‑on proficiency with automation frameworks such as Selenium, Playwright, or Cypress.
• Skilled in API and performance testing tools (Postman, REST Assured, JMeter, Gatling, etc.).
• Hands-on experience with OpenText ALM Octane (or equivalent enterprise test management platforms), including requirements traceability, test suite governance, defect workflows, dashboards, and reporting.
• Experience integrating quality platforms with CI/CD systems (Azure DevOps, Jenkins, GitHub Actions).
• Experience testing cloud-native platforms and hybrid on-prem/cloud architectures
• Strong debugging and analytical skills with ability to interpret logs, SQL queries, distributed system behavior, and root-cause failures.
• Excellent communication, documentation, and cross‑functional collaboration skills.
• Comfortable operating in agile, multi‑team delivery environments with parallel projects.
• Highly organized, self‑driven, and capable of owning the QA discipline end‑to‑end.
  
  

• Experience with airport or airline operations systems.
• Familiarity with Databricks, Power BI, or reporting ecosystem validation.
• Exposure to rules engines, natural‑language configuration, or AI‑assisted QA practices.
  
  

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why this role matters now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies -- Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

As our Senior DevOps Engineer, you’ll build the DevOps function from the ground up. You’ll lead the initial setup of our DevOps and platform engineering practices, define standards and infrastructure strategy

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote with overlap to our New York City HQ (EST)

Where you'll create impact

• Design and deliver an internal platform for personal or feature environments to empower developers and improve velocity
• Build and maintain AWS-based infrastructure to ensure optimal performance, scalability, and security
• Develop CI/CD pipelines to streamline deployments and automate release processes
• Implement observability tooling (logging, monitoring, alerting) to detect and resolve issues proactively
• Collaborate closely with developers to identify bottlenecks, improve delivery and enhance system reliability
• Ensure high availability and uptime through effective monitoring, incident response, and recovery strategies
• Promote infrastructure automation and Infrastructure as Code best practices
• Document systems, configurations and incident processes for team-wide clarity and consistency
• Participate in on-call rotations or coordinate time zone coverage to ensure 24-hour reliability across regions

What sets you up for success

• Hardcore work ethic and high agency
• 10+ years of experience or at least 5 years of strong AWS focused engineering experience
• Deep understanding of AWS services (EC2, ECS/EKS, RDS, IAM, networking, etc.)
• Experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
• Strong background in CI/CD systems (GitHub Actions, Jenkins or similar)
• Familiarity with containerization (Docker, Kubernetes) and modern deployment workflows
• Experience implementing monitoring and observability solutions (Prometheus, Grafana, Datadog, etc.)
• Comfortable working independently to build new systems and processes from the ground up
• Time zone flexibility to support partial 24-hour coverage is preferred

How you operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Compensation & Benefits

• Equity: $35,000 - $60,000
• Base Salary: $100,000 - $165,000 
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 27 PTO days (incl. public holidays)
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

• Lifecycle Ownership: Engage in and improve the entire service lifecycle-from design and deployment to operations and continuous improvement.
• Operational Readiness: Ensure system availability, capacity, performance, monitoring, and self-healing capabilities are embedded throughout delivery.
• Incident Management: Practice sustainable incident response, lead blameless postmortems, and optimize Mean Time to Recovery (MTTR).
• Automation & CI/CD:
• Develop and maintain automation pipelines for certificate renewal, traffic routing, alerting, and compliance reporting using tools like Ansible, Venafi & XLR template.
• Support CI/CD pipelines for software promotion and operational gating.
• Reliability Engineering: Scale systems sustainably through automation and advocate for changes that improve reliability and velocity.
• Compliance & Risk Management: Drive initiatives for Safety & Soundness, PCI compliance, threat/toil reduction, and ITSM defect resolution.
• Monitoring & Observability: Implement robust logging, monitoring, and alerting standards to ensure system health and proactive issue detection. Hands-on experience with Dynatrace & Splunk monitoring tool configuration and alerting.
• Collaboration: Work with global teams across multiple time zones and mentor junior engineers.
• Continuous Improvement: Provide feedback loops to development teams on resiliency gaps and operational enhancements.
• Rotational On-Call & Flexibility:
• Participate in rotational on-call support for critical production systems.
• Demonstrate flexibility to take on additional responsibilities and ad-hoc duties as needed to support team and organizational goals.
  

• Experience: 5+ years in BizOps, Site Reliability Engineering, or DevOps roles.
  
  

• Strong understanding of NGINX configuration and gRPC event-driven architectures.
• Proficiency in DevOps tools: Chef, Jenkins, Groovy, shell scripting, Bitbucket, Git, Ansible, XLR.
• Experience with AWS infrastructure, secure access practices, and cloud-native deployments.
  
  

• Awareness of certificate lifecycle management, mutual TLS, SSL handshake, SSH keys, encryption standards.
• Familiarity with ITSM processes, compliance frameworks, and incident management.
  
  

• Knowledge of client-server relationships, network layers (L1-L7), load balancers (BIG-IP F5), and application firewalls.
• Ability to analyze stack traces, TCP dumps, heap/thread dumps, and perform OS-level troubleshooting.
  
  

• Intermediate understanding of Active Directory, SAML, LTPA, SSO, OAuth.
  
  

• Strong documentation and communication skills.
• Ability to collaborate across cross-functional teams and mentor junior resources.
  
  

• Building self-healing systems and operational resiliency frameworks.
• Implementing observability solutions for distributed systems.
  
  

SRE Kafka

Dublin/Hybrid

Fulltime

Site Reliability Engineering:

• Serve as the primary contact responsible for ensuring application scalability, performance, and resilience.
• Practice sustainable incident response and blameless post-mortems while taking a holistic approach to problem-solving and optimizing recovery time.
• Automate data-driven alerts to proactively escalate issues. Work with development teams to establish SLOs and improve reliability.

DevOps/Automation:

• Tackle complex development, automation, and business process problems. Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement.
• Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead the Client in DevOps automation and best practices.
• Increase automation and tooling to reduce toil and manual intervention

ITSM Practices:

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
• Coding and/ or scripting exposure.
• Appetite for change and pushing the boundaries of what can be done with automation. Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth.
• Experience with algorithms, data structures, scripting, pipeline management, and software design
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Interest in designing, analysing, and troubleshooting large-scale distributed systems.
• Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.
• Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system.
• Comfortable collaborating with cross-functional teams to ensure that expected system behavior is understood, and monitoring exists to detect anomalies.

Kafka Knowledge is MUST

• 3-5 years of experience working with Apache Kafka in a production environment.
• Strong knowledge of Kafka architecture, including brokers, topics, partitions, and replicas.
• Experience with Kafka security, including SSL, SASL, and ACLs.
• Proficiency in configuring, deploying, and managing Kafka clusters in cloud and on-premises environments.
• Experience with Kafka stream processing using tools like Kafka Streams, KSQL, or Apache Flink.
• Solid understanding of distributed systems, data streaming, and messaging patterns.
• Proficiency in Java, Scala, or Python for Kafka-related development tasks.
• Familiarity with DevOps practices, including CI/CD pipelines, monitoring, and logging.
• Experience with tools like Zookeeper, Schema Registry, and Kafka Connect.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed environment.
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

• Lead an engineering team building client-facing enterprise security features for Kraken’s largest clients and Payward portfolio
• Design and implement libraries and microservices in Rust
• Deliver bring-your-own IdP integrations and modern enterprise authentication flows
• Build provisioning and access automation capabilities (e.g., SCIM) integrated with the organizations and permissioning stack
• Establish high-quality engineering standards and lead complex systems development, using powerful AI tools to your advantage.
• Partner cross-functionally to deliver enterprise-grade security features that meet customer and regulatory expectations
  
  

• 6+ years of experience in software engineering
• 2+ years of experience in hands-on engineering management of a team from 4-8 people
• Experience with security-sensitive backend systems (authentication, authorization, identity, permissions, auditability)
• Familiarity with enterprise security and identity standards and integrations (e.g., SSO)
• Track record leading delivery and operation of multi-tenant backend systems in production environments
• Direct experience with Rust in production
• Proactive and results-oriented mindset with the ability to prioritize tasks
• Excellent and collaborative communication and stakeholder management skills
• Passion for solving complex engineering problems
  
  

• Built or operated IdP integrations at scale (OIDC/SAML), including enterprise SSO deployments (Okta, Auth0, Microsoft Entra ID)
• Implemented provisioning automation standards (e.g., SCIM)
• Delivered audit logging, security event pipelines, or SIEM integrations
• Designed scalable permissioning models (RBAC/ABAC/PBAC) and least-privilege programs
  
  

• Building and operating high-throughput forward and reverse proxies that encrypt and decrypt data in transit at tens of thousands of requests per second
• Designing and evolving custom serverless runtimes for secure code execution in isolated environments
• Working with AWS Nitro Enclaves and confidential computing - building tooling for deployment, attestation, and scaling of secure enclave workloads
• Developing and maintaining the core encryption engine that powers all of Evervault's products
• Designing developer-facing APIs, CLIs, and SDKs for infrastructure primitives
• Working with low-level networking: TLS termination, mTLS, HTTP CONNECT proxying, VSock channels, and custom DNS
• Building observability, transaction logging, and debugging tooling for environments where traditional monitoring doesn't apply
• Improving deployment pipelines, CI/CD, and infrastructure automation across the platform
• Performance engineering - profiling, benchmarking, and optimising latency and throughput in latency-sensitive paths
• Working directly with customers - debugging integrations, understanding their architectures, and shaping the roadmap from real problems
  
  

• Real infrastructure, real scale. We process millions of transactions through our proxy and encryption infrastructure.
• Small team, outsized impact. ~30 people. Every engineer shapes the product and the company.
• Hard, interesting problems. Confidential computing, custom serverless runtimes, high-throughput encryption proxies, network-level security primitives. This is some of the most technically demanding infrastructure work you'll find at a startup.
• World-class backers. Sequoia, Index Ventures, Kleiner Perkins, and angels from Figma, Datadog, and LinkedIn.
• Growing fast. Scaling 4x this year. You'll help build the team and the culture.
• Developer-first DNA. We're building for engineers, and we're built by engineers who care about craft.
  
  

• Competitive salary
• Stock options with extended exercise window
• Flexible working hours
• Generous vacation days
• Private health insurance
• Catered lunch
  
  

• Location: (Tues -> Thursday in office, Monday & Friday strongly encouraged).
• Visa sponsorship: Unfortunately, Evervault does not currently sponsor visas to work in the UK or Ireland.

• Design, deploy, and operate enterprise-grade Oracle Enterprise Linux (Windows support as needed).
• Automate provisioning, configuration, and patching using Infrastructure as Code (Terraform) and related tooling.
• Develop and maintain operational automation primarily in Python (PowerShell is a plus).
• Support OCI services (compute, network, storage, IAM) and progressively take ownership through hands-on delivery.
• Work with Kubernetes/containers (OKE preferred) and troubleshoot containerized/microservices-based services.
• Implement and maintain identity/access patterns including OCI IAM and LDAP (AD knowledge helpful).
• Maintain compliance and security posture via vulnerability management, patching, and zero-day response.
• Improve monitoring and logging, respond to incidents, perform RCA, and participate in on-call duty.
  
  
  

• Minimum 5 years of experience in Linux systems administration / systems engineering roles, including production support and troubleshooting.
• Working knowledge of Infrastructure as Code (IaC)—strong preference for Terraform (modules, state, change control practices).
• Proficiency in Python for automation and operational tooling.
• Understanding of Kubernetes/containers fundamentals and ability to troubleshoot containerized services in a microservices environment.
• Experience with patching, lifecycle management, and configuration management principles (Linux-focused).
• Experience working with hyperscaler cloud platforms and hybrid operations
• Knowledge of monitoring and logging concepts (metrics, logs, alerts, SLIs/SLOs, incident response workflows).
• Strong collaboration skills in a global, cross-functional environment.
• Fluent in English.
  
  
  

• Industry certifications such as RHCSA, RHCE, Microsoft Windows Server, or cloud fundamentals (e.g., OCI Associate) are preferred but not mandatory.
• Interest in adopting CI/CD pipelines, enterprise monitoring solutions, and DevOps methodologies.
  
  
  

• Based in Dublin, Ireland, working as part of a distributed global team.
• A collaborative, learning-focused culture that values innovation, teamwork, and continuous improvement.
• Flexibility to be available outside standard office hours when business requirements demand.
  
  
  

• Requirements Analysis: Understand specifications and functional requirement documents thoroughly to ensure testability.
• Building and Maintaining Automation frameworks.
• Integrating with automation tools and automation development.
• Test Strategy & Design: Define the test environment, test suites, test plans, and detailed test cases for complex system features.
• Execution & Reporting: Execute test cases, rigorously analyze results, and effectively report all detected issues/defects with clarity and precision.
• Collaboration: Collaborate effectively with department members and leadership (internal & external stakeholders).
• Documentation: Develop essential technical documentation (know-how, best practices, and feature-related documentation).
• Mentorship & Training: Give demonstrations and provide training to other team members (internal & external) to share knowledge and elevate skills.
• Continuous Learning: Keep abreast of industry standards and the newest testing methodologies and tools to ensure technical relevance.
  
  

• Education: B.S. in Computer Science or a related technical field.
• Core Experience: 0-2 years of experience with automated testing methodologies and principles.
• Development Experience with test automation frameworks and automation development using languages such as Java or Python.
• System Expertise: Demonstrated experience testing large-scale, high-availability, distributed systems involving both hardware and software.
• Defect Management: Proven experience in effective defect logging and triage processes.
• Tools Proficiency: Working knowledge of test management software (e.g., Jira, Test Rail).
• Communication: Excellent communication skills (written and verbal) for collaboration and reporting.
• Methodology: Experience working in an Agile development environment (Scrum/Kanban).
• Soft Skills: Strong analytical skills and demonstrated capability in team mentoring.
  
  

• Environments: Experience working within complex Hardware laboratory environments.
• Domain Knowledge: Background in Telecommunications.
• Technical Knowledge: Familiarity with Networking protocols and concepts.
• Advanced Testing: Experience with Security, Performance & scalability testing methodologies.