Search Jobs

• Build all 5 portals and EdTech Hub frontend from scratch
• Establish a shared component library and Design System
• Implement role-based access control and authentication integration
• Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires
• Build AI integration screens — report viewer, expert matching, recording uploads
• Create monitoring dashboards, cohort tracking, and analytics views
  
  

• Design and build core domain APIs — User, Startup, Expert Pool
• Automate Application → Diagnosis → KO → Coaching workflows using a workflow engine
• Design the unified DB schema with audit logging and permission middleware
• Architect and execute data migration from legacy DB, CSV, and SharePoint sources
• Enhance and scale the existing authentication system as the platform grows
• Lead backend code reviews, establish architecture and engineering standards
  
  

• Senior backend engineer experiences
• Python backend development experiences
• Large-scale DB schema design and operations
• RESTful API design and large-scale service architecture
• Authentication/authorization system integration or scaling experience
• Business-level English fluency required — daily collaboration with a global team
  
  

• Django
  
  

• Redis
  
  

• n8n
  
  

• Kubernetes
• Docker
  
  

• Jira / Linear
• Cursor
  
  

• User, Startup, Expert Pool 등 핵심 도메인의 API를 설계하고 구축합니다
• 워크플로우 엔진으로 Application → Diagnosis → KO → Coaching 프로세스를 자동화합니다
• 통합 DB 스키마를 설계하고, 감사 로그와 권한 미들웨어를 구현합니다
• 기존 DB, CSV, SharePoint 등 다양한 소스의 데이터 마이그레이션을 설계하고 실행합니다
• 기 구축된 인증 시스템을 플랫폼 확장에 맞춰 고도화합니다
• 백엔드 팀의 코드 리뷰를 리딩하고, 아키텍처와 엔지니어링 표준을 수립합니다
  
  

• 시니어 백엔드 엔지니어
• 풍부한 Python 기반 백엔드 개발 경험
• 대규모 DB 스키마 설계 및 운영 경험
• RESTful API 설계와 대규모 서비스 아키텍처 구축 경험
• 인증/인가 시스템 연동 또는 확장 경험
• 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업
  
  

• 아키텍트 마인드. 코드를 짜기 전에 시스템 전체의 구조를 먼저 그리는 분. 최적의 설계에 대한 집착이 있는 분입니다
• 빌더. 레거시를 유지보수하는 것보다, 백지에서 새로운 시스템을 구축하는 것이 설레는 분입니다
• 임팩트 지향. 5,000개 이상의 스타트업이 사용할 플랫폼을 직접 만든다는 사실에 동기부여가 되는 분입니다
• AI 네이티브. AI 코딩 도구를 일상적으로 쓰고, AI 파이프라인과의 통합에 열린 자세를 가진 분입니다
  
  

• Django
  
  

• Redis
  
  

• n8n
  
  

• Kubernetes
• Docker
  
  

• Jira / Linear
• Cursor
  
  

• Working hours: Full-time 40 hours a week.
• Location: Remote - South Korea based
• Contract: Fixed Term Contract
• Salary: Competitive, based on experience

• Build all 5 portals and EdTech Hub frontend from scratch
• Establish a shared component library and Design System
• Implement role-based access control and authentication integration
• Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires
• Build AI integration screens — report viewer, expert matching, recording uploads
• Create monitoring dashboards, cohort tracking, and analytics views
  
  

• Design and build core domain APIs — User, Startup, Expert Pool
• Automate Application → Diagnosis → KO → Coaching workflows using a workflow engine
• Design the unified DB schema with audit logging and permission middleware
• Architect and execute data migration from legacy DB, CSV, and SharePoint sources
• Enhance and scale the existing authentication system as the platform grows
• Lead backend code reviews, establish architecture and engineering standards
  
  

• Senior backend engineer experiences
• Python backend development experiences
• Large-scale DB schema design and operations
• RESTful API design and large-scale service architecture
• Authentication/authorization system integration or scaling experience
• Business-level English fluency required — daily collaboration with a global team
  
  

• Django
  
  

• Redis
  
  

• n8n
  
  

• Kubernetes
• Docker
  
  

• Jira / Linear
• Cursor
  
  

• User, Startup, Expert Pool 등 핵심 도메인의 API를 설계하고 구축합니다
• 워크플로우 엔진으로 Application → Diagnosis → KO → Coaching 프로세스를 자동화합니다
• 통합 DB 스키마를 설계하고, 감사 로그와 권한 미들웨어를 구현합니다
• 기존 DB, CSV, SharePoint 등 다양한 소스의 데이터 마이그레이션을 설계하고 실행합니다
• 기 구축된 인증 시스템을 플랫폼 확장에 맞춰 고도화합니다
• 백엔드 팀의 코드 리뷰를 리딩하고, 아키텍처와 엔지니어링 표준을 수립합니다
  
  

• 시니어 백엔드 엔지니어
• 풍부한 Python 기반 백엔드 개발 경험
• 대규모 DB 스키마 설계 및 운영 경험
• RESTful API 설계와 대규모 서비스 아키텍처 구축 경험
• 인증/인가 시스템 연동 또는 확장 경험
• 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업
  
  

• 아키텍트 마인드. 코드를 짜기 전에 시스템 전체의 구조를 먼저 그리는 분. 최적의 설계에 대한 집착이 있는 분입니다
• 빌더. 레거시를 유지보수하는 것보다, 백지에서 새로운 시스템을 구축하는 것이 설레는 분입니다
• 임팩트 지향. 5,000개 이상의 스타트업이 사용할 플랫폼을 직접 만든다는 사실에 동기부여가 되는 분입니다
• AI 네이티브. AI 코딩 도구를 일상적으로 쓰고, AI 파이프라인과의 통합에 열린 자세를 가진 분입니다
  
  

• Django
  
  

• Redis
  
  

• n8n
  
  

• Kubernetes
• Docker
  
  

• Jira / Linear
• Cursor
  
  

• Working hours: Full-time 40 hours a week.
• Location: Remote - South Korea based
• Contract: Fixed Term Contract
• Salary: Competitive, based on experience

• 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
  
  

We’re looking for a hands-on Security Engineer / Architect to help secure our systems, data, and funds across both traditional infrastructure and Web3.

About the Role

You’ll work closely with IT, Infra, R&D, Web3, Product, and business teams to design practical security controls, lead security projects end-to-end, run offensive security exercises, and support ongoing security initiatives. This is a role for someone who is comfortable going from high-level architecture to very concrete implementation details and automation.

Responsibilities

Core Security Engineering

• Design and implement security controls to protect sensitive data, financial assets, and critical systems, ensuring integrity, confidentiality, and availability.
• Evaluate, recommend, and lead the implementation of security solutions (tools, platforms, processes) in a hands-on manner.
• Own security projects from inception to rollout, working closely with IT, Infrastructure, R&D, Web3 and other business units to ensure secure and timely delivery.
• Proactively identify and assess risks and vulnerabilities, and define/enforce mitigation strategies (technical and process).

Offensive Security, Testing & Bug Bounty

• Plan and execute penetration tests and targeted assessments (applications, APIs, infrastructure, Web3 components) either directly or by coordinating external partners.
• Lead or support red teaming / adversarial simulations to test detection, response, and real-world resiliency of critical workflows and infrastructure.
• Work with engineering teams on purple teaming style exercises: jointly validating detections, hardening controls, and improving runbooks.
• Own the technical side of the bug bounty / responsible disclosure process:
• Triage and validate incoming reports
• Coordinate with engineering owners
• Track remediation and communicate outcomes internally (and externally where needed)

Automation & Security Engineering

• Build and maintain security automation: scripts, playbooks, and pipelines that reduce manual toil (e.g., auto-enrichment of alerts, automated checks in CI/CD, policy-as-code).
• Integrate and tune SAST/DAST/SCA, IaC scanning, image scanning, and secrets scanning into CI/CD to catch issues early with minimal noise.
• Implement detection-as-code (e.g., for SIEM / logging platforms) and continuously refine alerts based on real incidents and red team learnings.

Policy, Operations & Collaboration

• Develop, refine, and maintain security policies, standards, and procedures, with a strong focus on data, funds, and access security.
• Contribute to day-to-day security operations and monitoring, including reviewing alerts, supporting incident response, and improving detection & response capabilities.
• Collaborate with stakeholders (IT, HR, Infra, R&D, Product, Trading, and other teams) to align security initiatives with business goals and product roadmaps.

Qualifications

• 5+ years of hands-on experience in cybersecurity, with a proven track record designing and implementing security solutions, frameworks, and policies.
• Experience with security architecture, risk assessments, and vulnerability management in complex, fast-paced environments.
• Demonstrated experience in at least one of:
• > Penetration testing / offensive security (infra, apps, APIs, or Web3), or
• > Running or working closely with red team / purple team engagements
• Experience triaging and managing security findings from scanners, pen tests, and bug bounty programs (HackerOne, Bugcrowd, self-hosted, etc.).
• Demonstrated ability to deploy and administer IAM platforms (e.g., Okta or similar) and define robust access models (RBAC, SSO, MFA).
• Competence in configuring and managing EDR and MDM solutions across a diverse device and user base.
• Hands-on experience with regulatory and compliance requirements relevant to financial institutions or crypto companies (e.g., SOC 2, ISO 27001:2022, NIST, CIS).
• Background working at Web3 / crypto companies (DeFi, trading platforms, digital asset custody/security, etc.) is highly advantageous.
• Comfort with at least one scripting / programming language (Python, Go, TypeScript, etc.) to build automations, integrations, and internal tools.

Required Skills

• Strong team player who enjoys working cross-functionally with IT, HR, Infra, R&D, Product, Trading, and business stakeholders.
• Genuinely passionate about cybersecurity, offensive and defensive: enjoys thinking like an attacker but building like an engineer.
• Experience embedding security best practices into day-to-day workflows (development, infrastructure, operations) and driving automation over manual checks.
• Ability to articulate complex security concepts in clear, practical terms to both technical and non-technical audiences.
• Values ownership, accountability, and clear communication, and is comfortable operating in a fast-changing environment with high autonomy.

Certifications

• Must-have
• > OSCP – we expect a deep, hands-on understanding of offensive techniques, not just theory.

• Nice to have
• > CISSP, CISM, or equivalent broad security leadership/architecture certifications.
• > Relevant GIAC certs (e.g., GWAPT, GCPN, GSEC, GCLD, GCIA, GIAC Cloud / Web / Exploit tracks).
• > Cloud security certifications (e.g., AWS Security Specialty, Azure Security Engineer, GCP Professional Cloud Security Engineer).
• > Kubernetes / container security or general K8s certifications (CKS, CKA, etc.).

• Design, develop, and maintain end-to-end software solutions across frontend and backend systems
• Contribute to architectural decisions, system design reviews, and code quality initiatives
• Write clean, scalable, testable code and ensure robust documentation for ongoing maintainability
• Participate in product ideation and feedback cycles, with a user-centric mindset.
• Optimize application performance, scalability, and reliability in both frontend and backend environments
• Integrate with APIs, databases, third-party services, and cloud infrastructure components
• Set up logging, monitoring, and alerting for deployed features (Sentry, Datadog, etc.).
• Investigate production issues and participate in on-call or incident response rotations.
• Participate in code reviews and technical discussions, and drive engineering best practices
• Collaborate with product managers, UX designers, Marketing, and other business leads to deliver high-quality features and user experiences
• Build and support frameworks for experimentation, feature flags, and data-driven product development.
  
  

• At least 5 years of full-stack software development experience
• Solid experience with backend development using languages, ideally Python
• Proficiency in modern frontend frameworks (e.g., React, Vue, or Angular)
• Strong understanding of RESTful APIs, microservices, and database systems (SQL and NoSQL)
• Experience with version control (Git) and collaborative development workflows
• Strong problem-solving skills and ability to work independently in a fast-paced environment
• Excellent communication and collaboration skills
• Experience with trading platforms or financial systems is a big plus, but not a must
  
  

• Intro call with the Head of Talent, 30m
• Technical Interview 1: Coding (in Python)/Algorithm/Data Structure, 60m
• Leet code questions using CoderPad
• Hiring Manager Interview, 30m
• Technical Interview 2: System Design, 60m
• Culture Interview with Singapore CEO, 30m
  
  

• Robust health insurance offering for you and your family
• 20 weeks of parental leave
• 15 days PTO annually plus national and company holidays
• Up to SG$75 per month reimbursement for internet

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe

Job Description-

Job Title: Senior Platform Engineer (Kubernetes / Rancher / NeuVector)

Employment Type: Full-time

Experience Level: 6+ years

Department: Platform Engineering / DevOps / Infrastructure

About the Role

We are looking for a highly skilled Senior Platform Engineer to join our infrastructure and platform engineering team. The ideal candidate will have deep expertise in building and managing Kubernetes platforms using Rancher, securing containerized workloads with NeuVector, and working across hybrid or multi-cloud environments. Experience with Harvester or hyperconverged infrastructure platforms is a strong plus.

This role is central to designing, deploying, and maintaining our modern infrastructure stack and enabling secure, scalable environments for application teams.

Key Responsibilities

· Design, deploy, and manage Kubernetes clusters using Rancher in production and non-production environments.

· Integrate and manage NeuVector for container security (runtime scanning, policy enforcement, vulnerability management, etc.).

· Implement platform automation using tools such as Terraform, Ansible, Helm, and CI/CD pipelines.

· Collaborate with security and networking teams to define and enforce policies across containerized platforms.

· Build and maintain observability (monitoring, logging, alerting) and operational dashboards.

· Work closely with development and DevOps teams to provide reliable platform capabilities.

· Participate in incident response, RCA, and performance tuning activities.

· Optionally contribute to HCI platform operations and VM orchestration if using Harvester.

Required Skills and Experience

· 6+ years of experience in DevOps, SRE, or Platform Engineering roles.

· Strong hands-on experience with Kubernetes architecture and operations (preferably K8s v1.20+).

· Experience managing production-grade Kubernetes clusters with Rancher.

· Solid understanding of container security best practices and operational experience with NeuVector.

· Proficiency in infrastructure as code (e.g., Terraform, Helm, Ansible).

· Experience with CI/CD tools such as GitLab CI, Jenkins, or ArgoCD.

· Good knowledge of Linux systems, networking, and shell scripting.

· Understanding of monitoring/logging tools such as Prometheus, Grafana, Fluentd, ELK, or Loki.

Nice to Have

· Experience with Harvester or other HCI platforms for VM management on bare metal.

· Familiarity with air-gapped or edge deployments.

· Exposure to hybrid/multi-cloud platform deployments.

· Certifications in Kubernetes (CKA/CKS), Rancher, or related technologie

• Architect, build, and operate end-to-end data and ML platforms on AWS and Databricks
• Own and administer Databricks workspaces for the Financial Crime platform
• Lead DevSecOps and DataOps practices, including infrastructure-as-code (IaC) and CI/CD pipelines for data and ML workflows
• Configure and optimize Databricks compute clusters (job clusters and all-purpose clusters) for performance, scalability, and cost efficiency
• Manage and enforce governance through Unity Catalog, including access control, security policies, data lineage, and isolation
• Build and operate ML infrastructure, including model deployment and serving endpoints
• Integrate AWS services (e.g., S3, Redshift, Kinesis, Lambda, EKS/ECS) with Databricks runtime and Delta Lake
• Implement platform security best practices, including secrets management, audit logging, and compliance controls
• Optimize system performance and diagnose large-scale production issues
• Mentor engineering teams and define architectural best practices for high-scale data and ML systems
  
  

• 7+ years of experience in data platform architecture, cloud infrastructure, or ML platform engineering
• Strong enterprise-level experience with Databricks and AWS
• Deep expertise in Unity Catalog governance and security models
• Hands-on experience designing, deploying, and operating Databricks clusters in production
• Experience managing Model Serving / ML deployment infrastructure
• Strong implementation mindset — able to design, build, deploy, and operate platforms end-to-end
• Experience operating in regulated environments (banking/fintech preferred)
  
  

• Infrastructure-as-Code (e.g., Terraform)
• Multi-account / multi-region cloud architecture experience
• Experience in financial crime, risk, AML, or fraud analytics platforms
  
  

• Meal and parking allowance are covered by the company
• Full benefits and salary rank during probation
• Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory
• Performance bonus up to 2 months
• 13th month salary pro-rata
• 15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave
• SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development
• Values-driven, international working environment, and agile culture
• Overseas travel opportunities for training and working related
• Internal Hackathons and company's events (team building, coffee run, blue card...)
• Work-life balance 40-hr per week from Mon to Fri

🚀Site Reliability Engineer

Client: Quant Fund – Global collaborative firm run by passionate Computer Scientists

Salary: Up to 1,300,000 HKD + bonus + package/perks

Location: Singapore (Hybrid/Remote)

In this position, you’ll build and operate mission-critical platform infrastructure using modern DevOps practices. Working closely with cross-functional teams, you’ll design, scale, and automate platforms, CI/CD pipelines, and self-service workflows — all with the goal of improving developer productivity and overall engineering experience

Successful candidate attributes:

✔️Observability: Monitoring, logging, tracing, and alerts.

✔️Scheduling & Orchestration: HPC and container orchestration for high-compute workloads

✔️Developer Tools: CI/CD, version control, artifact management, and dev platforms.

✔️Middleware: Messaging, service discovery, and load balancing.

✔️Databases: Relational, NoSQL, and time-series systems.

✔️Automation: Infrastructure automation, configuration management, and self-service.

If the above is of interest, please apply or reach out directly to myself at [email protected]

Key Responsibilities:

1、Lead the development of observability systems, building foundational capabilities across the full technology stack based on the four pillars: Metrics, Logging, Tracing, and Profiling.

2、Design and architect observability-related platforms and services, including monitoring systems, distributed tracing, log services, computing engines (for stream processing, real-time alerting, time-series detection), alerting mechanisms, and eBPF-based solutions.

3、Ensure high performance and availability of core observability services in high-concurrency environments, while continuously driving technology and product optimization.

4、Implement cutting-edge observability solutions for AI infrastructure and AI applications (including "Observability AI+"), enhancing AI system stability and improving the user experience and efficiency of traditional observability products.

Qualifications:

1、Bachelor's degree or higher in Computer Science or related field, with 3+ years of relevant work experience.

2、Proficiency in Java or Go, with expertise in concurrent programming, distributed systems, and performance optimization. Solid programming skills and strong system design capabilities.

Familiarity with mainstream cloud-native observability products and components, including but not limited to: OpenTelemetry, Prometheus, VictoriaMetrics, ELK/EFK, SkyWalking, ClickHouse, eBPF, with practical knowledge of Kubernetes fundamentals and applications.

3、Strong understanding of foundational open-source components including Linux OS, networking, storage, and message queues. Deep knowledge of implementation principles is preferred.

4、Experience with AI-related technology stacks such as PyTorch, LLaMA-Factory, Spring AI, Langfuse, wandb (Weights & Biases) is advantageous. Practical experience in AI observability scenarios is highly valued.

5、Excellent problem identification and resolution skills, with strong analytical and summarization abilities. Outstanding cross-team collaboration, strong sense of responsibility, and ability to work under pressure in a fast-paced international environment. Curiosity and passion for exploring new technologies.

6、Ability to communicate effectively in English (both written and spoken) and collaborate seamlessly with global teams.

• Continuous Integration and Continuous Deployment (CI/CD): Design and maintain pipelines
• Tools Expertise - Gitlab, Jenkins, Docker, Virtuozzo, Sonarqube, Nexus, Xldeploy, Veracode, Xlrelease, Release process automation.
• Design and Deployment of Containerization Infrastructures using Docker.
• Management and Optimization of DevOps Infrastructure for performance, availability, and security.
• Development and Maintenance of Automation Scripts for deployment and infrastructure management.
• Container Governance and Security: Establish policies for container security and vulnerability management.
• Technical Support for Development Teams and provide training/documentation.
• Support Development and Operations Teams in adopting DevOps practices and fostering collaboration.
• Development of DevOps Strategies aligned with long-term platform goals.
• Process Improvement: Optimize development, deployment, and operation processes.
• Training and Skill Development for team autonomy and proactivity.
• Communication and Collaboration: Facilitate smooth communication between teams to eliminate silos.
  
  

• More than 5 years’ experience in IT.
• Proven experience in Containerization Technologies: Docker.
• Expertise in Gitlab, Jenkins, Docker, Virtuozzo, Sonarqube, Nexus, Xldeploy, Veracode, Xlrelease, Release process automation.
• Development and Automation: Skills in Bash, Python for task automation.
• Configuration Management: Knowledge of Ansible.
• Container Networking and Security: Understanding of Docker networks and security best practices.
• Monitoring and Logging: Familiarity with Splunk.
• In-depth Knowledge of Agile Methodology.
• Autonomy, Proactivity, and Innovation in implementing DevOps practices.
• Continuous Learning and Technological Watch to stay ahead of DevOps trends.

• Oversee the end-to-end incident lifecycle, from identification and logging to resolution and closure with technical teams, vendors, and stakeholders
• Drive Root Cause Analysis (RCA) for critical incidents and ensure appropriate follow-ups
• Develop and maintain incident management dashboards, metrics, and reports for senior leadership
• Facilitate discussions within the recovery team, promoting engagement and maintaining discipline
• Ability to translate technical incidents into business terms
  
  
  

• Continuously refine and enhance incident management processes to ensure efficiency and effectiveness
• Identify trends and recurring issues, recommending proactive measures to prevent future incidents
• Lead or contribute to training sessions and knowledge-sharing initiatives on incident management practices
• Monitor and ensure adherence to Service Level Agreements (SLAs) for incident resolution
• Proactively escalate and address SLA breaches with appropriate corrective actions
  
  
  

• Ensure timely and clear communication of incident updates to stakeholders, including senior management and end users
• Draft and distribute incident notifications, status updates, and post-incident reports
• Bridge communication between technical teams and non-technical stakeholders to provide clarity and context
  
  
  

• Collaborate closely with business users to understand their needs and minimize incident impact on operations
• Support international stakeholders, ensuring language and cultural alignment
• Act as the liaison between Singapore, Japan-based teams, and global and regional IT units during incident management
  
  
  

• Tertiary degree in technology from a recognized educational institution
• Strong understanding of ITIL processes; ITIL certification is highly preferred
  
  
  

• 6 to 8 years of experience in IT incident management or related roles, with at least 2 years in a leadership capacity
• Proven experience managing critical incidents and working with international teams
• Experience in IT Service Management, IT Operations, IT infrastructure or Production Support
  
  
  

• Good understanding of Service Desk Operations, Escalation Management, Stakeholder Management experience including different (e.g. ServiceNow, JIRA and Salesforce) ticketing tools knowledge
• Strong decision-making, problem-solving abilities under pressure, prioritize and multitask effectively
• Excellent interpersonal skills to foster collaboration across teams and regions

Lifelong Learning SG (LLSG) strives to continues to strengthen its internal IT capabilities to support secure, reliable, and compliant operations. The Manager, IT (Network & Infrastructure) is responsible for the day-to-day ownership, governance, and continuous improvement of the organisation’s network, infrastructure, and end-user computing environment, operating within a vendor-managed service model.

The role reports to the Head of Digital Services and works closely with external service providers and internal stakeholders to ensure operational stability, cybersecurity, regulatory compliance, and service optimisation. The role also supports the onboarding of officers onto IT systems and standards and contributes to identifying opportunities for improvement, risk reduction, and infrastructure upgrades as part of ongoing operations.

Key Responsibilities

Network Infrastructure & EUCD Operations

• Ensure availability, performance, and resilience of infrastructure services.
• Act as the primary in-house escalation point for infrastructure-related incidents.
• Coordinate vendors for incident resolution, change implementation, and ongoing support.
• Maintain accurate infrastructure documentation, network diagrams, and asset records.

Vendor & Service Management

• Operate within a vendor-managed delivery model, retaining in-house ownership and accountability.
• Manage vendor performance against agreed SLAs and operational requirements.
• Review and validate vendor technical proposals, designs, and change requests.
• Coordinate multi-vendor troubleshooting and resolution activities.
• Ensure vendors comply with organisational IT policies, security standards, and governance requirements.

Change, Incident & Problem Management

• Oversee infrastructure-related change activities, ensuring proper impact assessment, rollback planning, and documentation.
• Manage and coordinate response to infrastructure incidents and service disruptions.
• Support root cause analysis (RCA) and follow-up preventive actions.
• Escalate risks, recurring issues, or service concerns to the Head of Digital Services where necessary.

Security, Risk & Compliance Support

• Support implementation and maintenance of technical security controls in line with PDPA requirements & ISO 27001 and organisational security policies
• Coordinate remediation of infrastructure- and EUCD-related findings from vulnerability assessments (VAPT) and security reviews.
• Ensure firewall rules, access controls, logging, and monitoring are properly implemented and reviewed.
• Support incident containment, investigation, and audit evidence gathering when required.

Technical Governance & Continuous Improvement

• Provide technical input and recommendations for infrastructure standards, configurations, and operational practices.
• Review infrastructure designs and configurations to ensure alignment with security, resilience, and operational requirements.
• Identify opportunities for service optimisation, risk reduction, and infrastructure improvements.
• Support knowledge sharing, documentation, and process improvement to enhance operational maturity.

Ad-hoc & Special Assignments

• Support ad-hoc IT or infrastructure-related assignments as directed by the Head of Digital Services.
• Participate in cross-functional initiatives involving Facilities, Security, or Business Units where infrastructure input is required.
• Escalate workload, capacity, or risk impacts early to ensure appropriate prioritisation.

Qualifications and Requirements

• Background and experience in IT, Computer Science, or related discipline.
• 1-2 years of relevant experience.
• Foundational knowledge of IT infrastructure and networking concepts.
• Basic understanding of: TCP/IP, LAN/WAN, DNS, DHCP
• Network and security principles
• Interest in cybersecurity, infrastructure, and IT operations.
• Comfortable working with external vendors and service providers.
• Willingness to learn and follow established procedures.
• Good communication, coordination, and documentation skills.
• Able to work under guidance in a structured environment.

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

• Support Business Unit specialists and senior analysts in gathering, documenting, and validating business requirements.
• Assist in analysing current (“as is”) and future state (“to be”) business and operational processes.
• Document functional and non functional requirements using approved templates and standards.
• Maintain requirement artefacts and support traceability across the project lifecycle.
• Assist in assessing the impact of change requests on scope, timelines, and delivery.
  
  

• Support the transition of requirements to System Analysts and technology teams, ensuring clarity and completeness of documentation.
• Participate in requirement walkthroughs, design discussions, and clarification sessions with business and technical stakeholders.
• Track requirement updates, assumptions, and dependencies, and highlight potential issues early.
  
  

• Support the review of test plans and functional test scopes prepared by the testing team.
• Assist in System Integration Testing (SIT) and User Acceptance Testing (UAT) activities, including test preparation, defect logging, tracking, and follow ups.
• Validate test outcomes against documented requirements and support issue resolution.
  
  

• Provide PMO support across innovation projects, including maintaining project plans, RAID logs, status trackers, and documentation.
• Support project governance activities such as scheduling meetings, preparing materials, tracking actions, and documenting minutes.
• Assist in monitoring project progress, key milestones, risks, and dependencies.
• Support preparation of project status updates and reports for stakeholders and management.
  
  

• Proficient in Microsoft Excel and PowerPoint for analysis, reporting, and presentations.
• Familiarity with project tracking and documentation tools (e.g. Project, Jira, Confluence, SharePoint) is a plus.
  
  

🚀Site Reliability Engineer

Client: Quant Fund – Global collaborative firm run by passionate Computer Scientists

Salary: Up to 250,000 SGD+ bonus + package/perks

Location: Singapore (Hybrid/Remote)

In this position, you’ll build and operate mission-critical platform infrastructure using modern DevOps practices. Working closely with cross-functional teams, you’ll design, scale, and automate platforms, CI/CD pipelines, and self-service workflows — all with the goal of improving developer productivity and overall engineering experience

Successful candidate attributes:

✔️Observability: Monitoring, logging, tracing, and alerts.

✔️Scheduling & Orchestration: HPC and container orchestration for high-compute workloads

✔️Developer Tools: CI/CD, version control, artifact management, and dev platforms.

✔️Middleware: Messaging, service discovery, and load balancing.

✔️Databases: Relational, NoSQL, and time-series systems.

✔️Automation: Infrastructure automation, configuration management, and self-service.

If the above is of interest, please apply or reach out directly to myself at [email protected]

Job Type: L1 Cloud Infrastructure Technical support and Operations.

Key Responsibilities:

• The engineer must be familiar with design and deployment on Amazon Web Services (AWS).
• Should be able to understand architecture of cloud environment, and manage cloud infrastructure solutions using platforms like AWS, Azure, or Google Cloud.
• Collaborate with development/Application and operations teams to ensure seamless integration of cloud-based applications.
• Monitor cloud resources for performance, security, and cost optimization, using appropriate monitoring tools (AWS CloudWatch, Trusted Advisor, CloudTrail).
• Design, deploy and manage cloud infrastructure using Infrastructure as Code (Terraform, AWS CloudFormation). Ensuring security, scalability and reliability.
• Troubleshoot and resolve cloud-related issues, including performance bottlenecks, security vulnerabilities, and system outages.
• Design and implement network solutions (VPC, subnets, Transit Gateway) and manage hybrid cloud connectivity (Direct Connect), configure firewall, security groups, network access control lists, and optimize network configuration (Elastic Load Balancer, Route 53).
• Monitor and maintain - disaster recovery and backup strategies for cloud-hosted environments.
• Maintain documentation related to cloud architecture, processes, and procedures.
• Ensure security compliance by managing IAM roles, implementing encryption, monitoring security events, while adhering to government compliance standards (IM8).
• Participate in cloud audit reviews and propose improvements to optimize efficiency, cost, and security.
• Stay up to date with the latest cloud technologies and industry trends.
• Develop, deploy, and maintain cloud-native applications such as Lambda, ECS, RDS to meet project needs
• Work closely with development and operations to integrate CI/CD pipelines, automate workflows, and adopt DevOps best practices using tools such as GitLab to streamline and secure cloud deployment.
• Scripting skills in languages like Bash, or PowerShell to automate and run repetitive reports and tasks.

Required Skills and Qualifications:

• Minimum 3 years of experience as a Cloud Engineer, with hands-on experience working with AWS, Azure, & Google Cloud.
• Strong understanding of cloud infrastructure, networking, and security best practices.
• Knowledge of monitoring and logging tools (e.g., AWS CloudWatch, Trusted Advisor, CloudTrail).
• Knowledge of cloud-native applications such as Lambda, ECS, RDS.
• Experience in network solutions (VPC, subnets, Transit Gateway) and managing hybrid cloud connectivity (Direct Connect), configure firewall, security groups, network access control lists, and optimize network configuration (Elastic Load Balancer, Route 53).
• Experience in managing cloud infrastructure using Infrastructure as Code (Terraform, AWS CloudFormation)
• Excellent problem-solving skills and ability to troubleshoot complex systems.
• Strong communication skills and ability to collaborate across teams.

Minimum Qualifications:

• Cloud certifications, preferred solution architect certification or higher. (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, Google Cloud Professional Cloud Architect).
• 3 Years of experience in Cloud infrastructure management.
• Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent work experience.

• Design cloud environments, establish networking and security policies
• Build and operate container orchestration clusters
• Set up CI/CD pipelines — Dev/Staging/Prod environment separation
• Build monitoring and log management systems
• Establish secrets management, PII protection, and backup/recovery strategies
• Optimize database and caching performance
• Plan and execute infrastructure scaling strategies as the platform grows
  
  

• Senior levle of experiences in infrastructure/DevOps experience
• Experiences in designing and operating cloud infrastructure
• Container orchestration setup and operations experience
• CI/CD pipeline construction experience
• Containerization, Linux, and Infrastructure as Code hands-on experience
• Business-level English fluency required — daily collaboration with a global team
  
  

• Automation addict. You can't stand repetitive tasks. You want a world where devs never think about deployment
• Stability-first. Not 'it runs, we're fine' — you pursue 99.9% uptime and automatic failover
• Security-first. Security is your first consideration in infrastructure design, not an afterthought
• Ground-zero builder. You'd rather architect from a blank slate than manage legacy infra
  
  

• Kubernetes
• Helm
  
  

• Pulumi
  
  

• Grafana
• Prometheus
  
  

• Loki
  
  

• AWS Secrets Manager
  
  

• Redis
  
  

• Working hours: Full-time 40 hours a week.
• Location: Remote - South Korea based / / Open to global remote candidates
• Contract: Fixed Term Contract

Pre-Contracts Manager – Commercial Office Fit Out

Job Title: Pre-Contracts Manager – Commercial Office Fit Out

Job reference Number: 884306-9450-25275

Industry Sector: Estimator, Estimating, Estimates, Office Fit Out, Sub-Contractors, Bespoke Joinery, FF&E, Design and Build, Design & Build, Fit-out, Joinery, Refurbishment, Commercial Fit Out

Location: Milton Keynes

Remuneration: £40,000 - £50,000

Benefits: Electric company car, private health, pension and other benefits

The role of the Pre-Contracts Manager – Commercial Office Fit Out will involve:

• Estimator position dealing with a range of commercial office fit out projects
• Manage client enquiries by arranging survey meetings, understanding project briefs, carrying out measured surveys, and maintaining clear communication throughout.
• Prepare accurate cost estimates by analysing survey information, obtaining supplier pricing, and producing detailed quotations and schedules of works.
• Coordinate design information including drawings, layouts, and visual materials to support client proposals and presentations.
• Maintain project and quotation records by logging enquiries, updating systems, revising estimates, and tracking project progress.
• Support project handover by finalising scope, costs, and documentation and ensuring a smooth transition to the delivery team.
• Working on projects ranging in value up to £1m

The ideal applicant will be a Pre-Contracts Manager – Commercial Office Fit Out with

• Must have estimating experience within the construction industry
• Ideally have estimating experience within fit out or related market sector such as: shopfitting, refurbishment, design & build, joinery or FF&E
• Good technical knowledge and good understanding of industry processes, materials and costs
• Highly organised with good attention to detail
• Excellent communication skills both written and verbal
• Computer literate (Microsoft Office)
• Ability to work in a fast paced environment
• Good team player who also works well individually

• Food industry and hygiene training
• Demonstrated knowledge of food and hygiene regulations
• Experience in a supervisory role within a catering environment
• Experience working both within a team environment and as a ‘self-starter’
• Current class C driver's licence
• Current Working with Children Check.
  
  

• Experience in a supervisory role in a similar environment
• Current CPR Certificate
• Current First Aid Certificate.
  
  

• Entry level for this position starts at $1,408.84 per week, plus an additional 12.25% in accordance with Council's flexibility agreement
• 114 hours over a 3-week rotational roster (includes working one weekend every 3 weeks)
• Employee benefits such as leave entitlements (where applicable), 12% employer contribution payable to your nominated superannuation fund, Fitness Passport, gym membership discounts, and social clubs.
  
  

• Have your resume and any other relevant documentation ready to attach.
• Have a personal email address ready to use and complete your application without 'logging out' of the system.
• Review the questions and decide on your responses before commencing your application. Best of luck.
  
  

• Supervising and monitoring automated trading systems in the various markets we trade in.
• Assessing live trading for any issues (e.g. risk, compliance, production issues) and quickly responding to unusual behaviours or market conditions.
• Working closely with risk managers and trading teams to alert key staff of any intraday trading issues and collaborating with Optiver's engineers, brokers, and exchanges to resolve problems in real time.
• Documenting procedures and logging production issues as they occur.
  
  
  

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.
• The chance to work alongside diverse and intelligent peers in a rewarding environment.
• Training, mentorship and personal development opportunities.
• Daily breakfast, lunch and an in-house barista.
• Gym membership plus weekly in-house chair massages.
• Regular social events, including a company trip every two years.
• Guided relocation, a competitive relocation package and visa sponsorship where necessary.
  
  
  

• At least 5 years’ experience in a Trade Supervision, Trading, Risk, Application Engineering, or similar role.
• Prior trading exposure across asset classes and strategies is highly desirable.
• Comfortable working in night shifts on a rotational basis.
• An understanding of exchange-specific rules and procedures.
• Extremely organised, detail-oriented, and able to work independently.
• Excellent communication, project management and time management skills.
• Solid experience with high-frequency automated trading strategies will be preferred.
• Experience with Python, Linux command line and the ability to extract and manipulate large data sets will be preferred.
  
  
  

Full-time | Hybrid

Brisbane northside office location

Evercare currently operates three Brisbane based GP clinics supported by a unique model and custom digital platforms. As we continue to grow, we’re building in-house software delivery capability, while stabilising and modernising our technology stack.

We are looking for a Development Lead to guide a small cross-functional engineering team and take a leading role in designing and delivering production-quality software. You will own how software is delivered across the organisation, including SDLC, CI/CD, quality, release management, and operational discipline. You will also play a key role in the transition from legacy ASP.NET MVC applications to modern .NET APIs and contemporary web front ends.

The Role

This is a technical leadership role where you will set engineering guardrails, uplift delivery practices, contribute directly to building a high-performing team, and personally deliver high-quality software across our core platforms.

What You Will Be Doing

• Lead delivery for a cross-functional team, including engineers, DevOps, and testing resources as needed
• Contribute and review production-grade code across core systems, setting the technical quality bar for the team
• Own the end-to-end SDLC including planning, refinement, build, test, release and ongoing operations
• Drive the modernisation journey by
• Maintaining and stabilising existing ASP.NET MVC applications (minimising change footprint, prioritising reliability)
• Building and scaling modern .NET APIs and new web front ends using React or similar frameworks
• Establish and continuously improve:
• Release management and deployment safety, including rollbacks, hotfixes, and release readiness
• CI/CD pipelines and quality gates such as automated testing, linting, security scanning
• Engineering standards including code review practices, branching strategy and definition of done and ready
• Run pragmatic delivery rhythms using Scrum or Kanban, improving predictability, and ensuring stakeholder visibility
• Maintain strong operational discipline through:
• Incident response and post-incident reviews
• Runbooks, monitoring and observability practices
• Risk and issue tracking with clear decision logging
• Champion practical AI-assisted engineering workflows for coding, testing, and documentation with sensible guardrails

What We Are Looking For

Essential

• Proven experience as a Development Lead, Engineering Lead or Senior Engineer with delivery leadership responsibilities
• Demonstrated ability to lead engineering delivery while personally designing and implementing complex production systems.
• Strong .NET background across legacy and modern stacks, including ASP.NET MVC, modern .NET, API design, authentication and integrations
• Web front-end experience or leadership exposure across React or the modern JavaScript and TypeScript ecosystem with pragmatic UX sensibilities
• Solid AWS experience including core services, deployment patterns, security fundamentals, logging and monitoring
• Strong delivery systems thinking including the ability to:
• Design and run a lightweight SDLC
• Reduce cycle time, raise quality, and improve predictability without unnecessary bureaucracy
• Comfort operating in a regulated and high-trust domain such as healthcare, with a demonstrated attention to security, reliability and auditability
• Strong communication skills with the ability to translate ambiguity into executable plans and keep stakeholders aligned

Nice to have

• Infrastructure as Code experience using Terraform, CloudFormation, or CDK
• Containerisation experience
• Experience with observability stacks such as CloudWatch, OpenTelemetry, Datadog, or New Relic
• Experience modernising legacy systems using strangler patterns, incremental refactors, or migration planning
• Exposure to integration-heavy environments including APIs, data migration, eventing, or ETL

Highly Regarded

• Experience working with legacy platforms undergoing modernisation
• Experience in healthcare or other regulated environments
• Experience working with distributed or hybrid development teams
• Experience improving release processes and overall engineering productivity

Why Join Evercare

• Real influence over engineering standards and delivery culture, not just feature output.
• Meaningful technical problems in a mission-critical healthcare context.
• Opportunity to shape tooling and practices as we build a sustainable internal delivery function.
• Be part of a growing organisation undergoing meaningful technical transformation

Apply for this role via SEEK https://www.seek.com.au/job/90330553?ref=cm-ui

• Relevant Post Trade or Advanced Qualifications in a related field
• Suitable experience in a related field
• Senior First Aid Certificate
• Chemical Application AQF4or equivalent
• Computer literate
• Class C driver’s licence.
  
  

• WorkCover approved Front-end loader accreditation
• WorkCover approved WHS General Construction Induction for Work in NSW
• TAFE Conservation and Land Management (CALM) Certificate
• Knowledge of applicable legislation/regulations.
  
  

• Entry level for this position starts at $1,621.31 per week
• 38-hour working week
• Rostered Day Off (RDO) every fortnight
• Employee benefits such as leave entitlements (where applicable), 12% employer contribution payable to your nominated superannuation fund, Fitness Passport, gym membership discounts, and social clubs.
  
  

• Have your resume and any other relevant documentation ready to attach.
• Have a personal email address ready to use and complete your application without 'logging out' of the system.
• Review the questions and decide on your responses before commencing your application. Best of luck.
  
  

• Infrastructure Design and Implementation: Designing the cloud environment (utilizing AWS, Azure, GCP, etc.) and defining architecture patterns and standards that support a multi-tenant, modular SaaS model.
• Ensuring Operational Excellence: Establishing and applying consistent procedures and best practices for managing and delivering the cloud platform to meet agreed-upon Service-Level Objectives (SLOs).
• Scalability and Reliability: Architecting systems with redundancy, fault tolerance, and high availability to handle fluctuating workloads and minimize downtime, potentially leveraging microservices and serverless computing.
• Security and Compliance: Designing and implementing robust security controls (e.g., identity and access management, encryption, firewalls), monitoring for threats, and ensuring compliance with industry regulations like GDPR or HIPAA.
• Performance Monitoring and Optimization: Setting up comprehensive monitoring and observability tools to track key metrics and performance bottlenecks. Continuously optimizing resource allocation (e.g., rightsizing, auto-scaling) and application code to improve performance and responsiveness.
• Cost Management and Optimization: Evaluating and optimizing cloud service costs and usage. This includes implementing tagging strategies, managing budgets, and working with finance teams to ensure cost efficiency.
• Automation and DevOps Practices: Leveraging Infrastructure as Code (IaC) tools like Terraform and implementing CI/CD pipelines to automate deployment, configuration, and management tasks, reducing manual errors and speeding up delivery.
• Disaster Recovery and Business Continuity: Designing and testing disaster recovery (DR) and business continuity (BC) plans, including automated backups and recovery procedures, to mitigate the impact of outages. Act as the Incident Commander when required.
• Collaboration and Communication: Working closely with software developers, DevOps & CloudOps engineers, security teams, and business stakeholders to align technical solutions with organizational goals and provide technical guidance and mentorship.
• Continuous Learning: Staying abreast of new cloud technologies, trends, and provider updates (e.g., new AWS/Azure/GCP services) to drive innovation and maintain a cutting-edge platform.
  
  
  

• Deep Cloud Expertise: Extensive hands-on experience designing, deploying, and managing complex, production-grade cloud environments across at least one major provider (AWS is preferred, Azure, or GCP), with exposure to multi-cloud concepts.
• Infrastructure as Code (IaC): Advanced proficiency with IaC tools such as Terraform for managing and provisioning infrastructure in a declarative, repeatable manner.
• DevOps and CI/CD: Proven ability to implement and manage robust CI/CD pipelines (e.g., GitLab CI, Jenkins, Ansible) to automate configuration, testing, and deployment processes.
• Networking and Security: Expert knowledge of cloud networking (VPCs, VNETs, routing, load balancing) and security principles, including IAM, encryption standards, firewall rules, and robust security monitoring implementation.
• Containerization & Orchestration: Strong working knowledge of container technologies (Docker) and orchestration platforms (Kubernetes) is highly desirable, especially in a microservices context.
• Monitoring and Observability: Experience setting up and utilizing comprehensive monitoring and logging systems (e.g., Sumologic, Grafana, ELK Stack, Datadog) to establish and enforce SLOs.
• Scripting/Programming: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for automation and system management tasks.
  
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Relevant professional cloud certifications (e.g., AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, GCP Professional Cloud Architect) highly preferred.
• 7+ years of progressive experience in cloud engineering, SRE, or DevOps roles, with a significant tenure in a senior capacity.
• Strong Analytical and Cost Management Skills: Demonstrated ability to analyze cloud consumption patterns, implement tagging strategies, and drive significant cost optimization initiatives.
• Operational Leadership: Experience as an Incident Commander or in leading the response, resolution, and root cause analysis (RCA) process for major platform outages.
• Excellent Communication and Collaboration: Ability to articulate complex technical concepts to both technical and non-technical stakeholders, and to provide technical guidance and mentorship to junior team members.
• System Design: Proven track record in designing high-availability, fault-tolerant, and disaster recovery architectures for mission-critical SaaS applications.
  
  
  

• TAKEOWNERSHIP AND FOLLOW UP
• RESILIENT WE LEARN FROM THE PAST AND ARE OPTIMISTIC ABOUT TOMORROW
• UNAFRAID TO DO THE RIGHT THING, QUICKLY
• TEAM NUIX FIRST AND FOREMOST
• HERO OUR CUSTOMERS AND INNOVATE FOR THEM
  
  
  

• Design and build unified job submission APIs, CLI, and web UI for all AI workload types (training, inference, fine-tuning) on Kubernetes and Slurm with Firmus AI Factory context (tenant isolation, resource requests, metadata tagging, observability hooks).
• Implement comprehensive job metadata models and schemas: track job ID, job type, tenant, user, resource requirements, priority class, timestamps, lineage, execution status.
• Integrate authentication/authorization (RBAC) and resource quotas; enforce multi-tenant isolation at submission time across all job types.
• Build AI job scheduling and orchestration layer: priority classes, preemption policies, fairness algorithms, resource quota enforcement, and intelligent job routing.
• Build the AI Factory template catalog: discovery, parameter validation, and manifest generation for training templates, inference serving templates, and fine-tuning recipes.
• Wire job submissions to observability pipeline: inject labels/annotations (job_id, tenant, user, model_name, job_type) so metrics are tagged per-job.
• Expose job-level telemetry APIs (GPU metrics, cost accrual, MFU progression for training; latency, throughput, tokenomics for inferencing) for platform telemetry and monitoring.
• Extend job submission to handle inference workloads: design inference job specifications (model, batch size, latency SLA, cost constraints); integrate with inference serving APIs.
• Coordinate with platform team on observability dashboard integration, with LLM engineers on template design, and with ModelOps on reliability standards.
  
  

• 5–7 years of backend engineering experience building production APIs and distributed systems (Python, Go, or Java).
• Deep Kubernetes expertise: understand Job controllers, Pod specs, resource requests/limits, RBAC, network policies, debugging.
• Hands-on Slurm experience: job submission, resource allocation, job queues, sbatch scripting.
• Strong distributed systems knowledge: understand scheduling algorithms, fairness, preemption, resource management.
• Strong data modelling: can design clear schemas for job metadata, handle versioning and migrations, ensure backward compatibility.
• DevOps mindset: comfortable with observability, logging, tracing, and production troubleshooting.
• Experience with streaming APIs and real-time webhooks, and system-level integration patterns.
  
  

• Job Orchestration & Scheduling: shipped job scheduling or workflow systems at scale; understands job lifecycle, failure modes, and scheduling policies.
• Multi-Tenancy Design: can architect fair resource allocation, quota enforcement, pre-emption, and data isolation across job types.
• API Design: RESTful or gRPC APIs that are intuitive and extensible; handles versioning gracefully.
• Systems Architecture: understands how job submission connects to training, inferencing, observability, cost tracking, and incident response.
• Cross-Domain Partnership: works closely with infra team, platform team, LLM engineers; clear handoff points and API contracts.
  
  

• Unified orchestration adoption increases: teams use the standard job interface rather than bespoke/manual pathways.
• Scheduling effectiveness & fairness improves: predictable scheduling under contention with reduced noisy-neighbor impact.
• Orchestration reliability stays high: jobs reliably start, run, and complete across K8s/Slurm/inference integrations.
• End-to-end workflow automation increases: higher share of workflows complete without human intervention (e.g., train→register→serve).
• Interface stability & compatibility remains strong: the orchestration API evolves without breaking users.
  
  

• Singapore or Australia (Launceston, TAS or Sydney, NSW)
• Reporting to Head of AI & Applications
  
  

• Expertise in agentic AI and multi-agent orchestration (tools, planning, reflection, chain-of-thought)
• Build AI evaluation frameworks with metrics, benchmarks, and QA for non-deterministic systems
• Proficiency in prompt engineering, management, and security (injection prevention, guardrails)
• Ensure reliable model serving, GPU optimization, and cost-aware inference
  
  

• Design end-to-end solutions across frontend, backend, data, and AI layers
• Create architectural decision records, reference architectures, and technical design documents
• Master distributed systems, event-driven architectures, and microservices
• Develop AI data architecture (modeling, pipelines, governance)
• Design API patterns (REST, GraphQL, gRPC) for robust AI service integration
• Address security with threat modeling, responsible AI, data privacy, and compliance
  
  

• Maintain expert-level Azure/AWS/GCP cloud architectures
• Leverage AI managed services (Bedrock, SageMaker, Vertex AI, Azure OpenAI)
• Use serverless and container patterns (ECS/EKS, Cloud Run, Lambda)
• Build vector/search infrastructure (Pinecone, Weaviate, pgvector, OpenSearch)
• Apply Infrastructure as Code (Terraform, CDK, Pulumi) and GitOps
• Focus on AI FinOps and cost optimization
  
  

• Excel in Python for prototyping, review, and critical decisions
• Use TypeScript/JavaScript for full-stack design
• Employ AI frameworks (Semantic Kernel, AgentCore, etc)
• Ensure AI observability—tracing, logging, monitoring, and drift detection
  
  

• Lead technical teams and mentor engineers
• Communicate complex concepts to non-technical stakeholders
• Run architecture reviews, design workshops, and governance
  
  

Location : Sydney Australia

Candidates with work autorization in Australia should only apply

This is a long term contract with best in class compensation

We are seeking an experienced TIBCO BusinessWorks Consultant/Developer to support a large-scale migration project from TIBCO BusinessWorks 5.x (BW5) to TIBCO BusinessWorks

Container Edition (BWCE). The role involves modernizing legacy integrations, refactoring BW5

applications, and deploying containerized BWCE solutions on Microsoft Azure using Kubernetes.

The ideal candidate will have strong hands-on experience with TIBCO BW, middleware integration patterns, containerization, and cloud-native deployments.

Key Responsibilities

TIBCO Migration & Development

• Analyze existing TIBCO BW 5.x applications, processes, and shared resources.

• Design and implement migration strategies to TIBCO BWCE, including:

◦ Refactoring BW5 processes to BW6/BWCE-compatible designs

◦ Replacing deprecated or unsupported BW5 palettes and activities

• Develop, configure, and test BWCE applications using TIBCO Business Studio.

• Ensure functional parity and performance improvements post-migration.

Containerization & Cloud Deployment

• Package BWCE applications into Docker containers.

• Deploy and manage BWCE applications on Kubernetes (AKS) in Microsoft Azure.

• Configure Kubernetes resources such as Deployments, Services, ConfigMaps, and Secrets.

• Implement scalability, high availability, and resilience patterns.

Integration & Middleware

• Work with REST, SOAP, JMS, FTP/SFTP, databases, and file-based integrations.

• Implement error handling, logging, monitoring, and retry mechanisms.

• Support integration with Azure services where required (e.g., Azure Storage, Key Vault,

Azure Monitor).

DevOps & Automation

• Support CI/CD pipelines for BWCE builds and deployments.• Collaborate with DevOps teams on:

◦ Helm charts or Kubernetes manifests

◦ Environment-specific configurations

• Troubleshoot deployment and runtime issues in containerized environments.

Collaboration & Documentation

• Work closely with architects, business analysts, QA, and operations teams.

• Provide migration documentation, technical design documents, and runbooks.

• Support knowledge transfer and best practices for BWCE and cloud-native development.

Required Skills & Experience

Mandatory

• Strong experience with TIBCO BusinessWorks 5.x development.

• Hands-on experience with TIBCO BusinessWorks 6.x / BWCE.

• Proven experience in BW5 to BWCE migration projects.

• Solid understanding of enterprise integration patterns.

• Experience with Docker and Kubernetes.

• Experience deploying applications on Microsoft Azure, preferably Azure Kubernetes

Service (AKS).

• Strong debugging, troubleshooting, and performance tuning skills.

Technical Skills

• XML, XSD, XPath, XSLT

• RESTful and SOAP web services

• JMS / EMS

• SQL and database integrations

• Git or similar version control systems

Nice to Have

• Experience with Azure DevOps, GitHub Actions, or Jenkins.• Knowledge of Helm, Kubernetes operators, or service meshes.

• Exposure to API management or API gateways.

• TIBCO certifications (BW5, BW6, or BWCE).

• Experience modernizing monolithic integrations to microservices.

Soft Skills

• Strong analytical and problem-solving abilities.

• Excellent communication and documentation skills.

• Ability to work independently in a consulting environment.

• Experience working with distributed teams and stakeholders.

Engagement Type

• Contract / Consulting / Full-time (as applicable)

Please apply to [email protected] with your resume

You can also register yourself on https://freelancer.expertshub.ai/auth/sign-up?marketingCode=EXPMRJEN002

Senior DevOps Engineer

3+ years experience

• High-impact regulatory tech
• High technical autonomy
  
  Clerk Grade 9/10
  
  Employment Type: Ongoing role
  
  Located in Sydney CBD - McKell Building (hybrid work available)
  
  Salary Base: $129,464 - $142,665 per annum plus superannuation
  
  Be Part of the Future of Fair Trading
  An exciting opportunity has arisen within NSW Fair Trading for a Senior Data Developer.
  At NSW Fair Trading, we've been on an exciting journey of transformation - reimagining how we deliver for the people and communities of NSW. Through our recent organisational realignment, we've built a new operating model designed to put customers at the centre of everything we do, strengthen our regulatory impact, and enable our people to thrive. We're creating a more modern, responsive and risk-based Fair Trading - one that understands the needs of people and businesses, embraces collaboration and innovation, and delivers better outcomes across the rental, strata, property and consumer markets we serve. This next phase brings new and exciting opportunities to join us in shaping "the new way" - where you can help design smarter regulation, improve customer experiences, and make a real difference for the people of NSW.
  
  If you're someone who:
• Thinks deeply about the needs of people and communities,
• Is motivated by great outcomes, not just processes, and
• Wants to be part of an organisation that's transforming how regulation works -
  …then there's a place for you in our future.
  
  Join us as we build a Fair Trading that's fit for the future - one that's customer-centred, evidence-driven, and proudly focused on public value.
  
  About the Role
  We are looking for a DevOps Engineer to be a foundational member of a high‑priority data and analytics platform team. You will design, implement, and maintain the DevOps foundations that support a modern cloud data ecosystem including Snowflake, Databricks, and a wide range of Azure cloud services. You will build deployment pipelines across cloud resources, TypeScript applications, Streamlit apps, and Snowflake database objects while shaping the platform's security, governance, access controls, and monitoring.
  
  What You'll Do
  - Build, maintain, and optimise DevOps pipelines for Azure resources, ensuring scalable, secure, and reproducible infrastructure.
  
  - Implement infrastructure-as-code patterns for automating creation, deployment, and configuration across a multi‑service Azure environment.
  
  - Develop CI/CD pipelines for TypeScript applications, Databricks workflows, Snowflake database objects, and Streamlit applications.
  
  - Ensure deployments are reliable, repeatable, and aligned with engineering best practices.
  
  - Implement and maintain user access management across Azure, Databricks, Snowflake, and related applications.
  
  - Build automated controls for monitoring access activity, data usage, platform costs, and compliance requirements.
  
  - Apply governance and policy‑driven design to ensure the platform meets security and regulatory expectations.
  
  - Establish monitoring, alerting, and automated reliability checks across pipelines and cloud services.
  
  - Drive excellence in observability, maintainability, and platform resilience.
  
  - Collaborate with engineering and data teams to ensure the platform supports analytics, modelling, and application workloads.
  
  About the Team
  This role sits within NSW Fair Trading's Data and Analytics team. The team delivers modern data and reporting solutions that enhance regulatory insight, operational performance, and customer experience through data-driven innovation.
  
  About You
  
  You are a DevOps Engineer (3+ years) who takes ownership from design through to production. You enjoy shaping DevOps standards and long‑term platform direction. You have experience supporting cloud‑native data platforms and diverse application runtimes, and are motivated by building technology that improves public outcomes.
  
  - Experience with Azure (e.g., Azure DevOps/GitHub Actions, ARM/Bicep/Terraform, AKS/App Services, Key Vault, Monitor).
  - Strong capability in CI/CD, infrastructure as code, and security‑by‑design.
  - Familiarity with platform services supporting analytics workloads (e.g., Snowflake, Databricks) and application runtimes (e.g., TypeScript/Node, Streamlit).
  - Proficient in scripting/automation (e.g., Bash, PowerShell, Python) and source control workflows (Git).
  - Skilled in monitoring/observability practices and tools (logging, metrics, alerting, dashboards).
  - Collaborates effectively with engineering, data, and security teams.
  - Tertiary qualifications in computer science, software engineering, information systems, or a related discipline (or equivalent experience).
  
  When Applying
  
  Provide a cover letter and resume (maximum 5 pages) that outline your experience and how you meet the role's key capabilities.
  
  
  
  Salary Grade 9/10, with the base salary for this role starting at $129,464 base plus superannuation
  
  Click Here to access the Role Description. For enquiries relating to recruitment please contact Francis Wen via [email protected].
  
  Visit the Capability Application Tool to prepare for the recruitment process by accessing practice application and interview questions based on the focus capabilities listed in the role description.
  
  Closing Date: Friday, 13th March, 2026 (at 9:59am)
  
  Careers at Department of Customer Service
  A career at the Department of Customer Service (DCS) gives you the opportunity to help improve government services and be part of reform that benefits people across NSW. We are focused on delivering excellent customer service, digital transformation, and regulatory reform. Come join us and influence the future of our great state.
  
  
  Belong in our diverse and inclusive workplace
  
  The strength of our workforce lies in its diversity and embracing difference, while the key to our success is leveraging the contributions of employees with different backgrounds and perspectives.
  
  You can view our full diversity and inclusion statement here.
  
  We want you to bring your best self to this application process. If you have any support or access needs that may require adjustments to allow you to fully participate in this selection process (including an alternate format of the application form) please contact [email protected] or 02 9494 8351.
  
  For more information, please visit
  
  
  Information on some of the different types of disabilities
  
  
  
  Information on adjustments available for the recruitment process
  

• Understand the technology strategy and systems roadmap across the project and deliverables and produce technical designs that are in alignment
• Break down user stories into tasks and provide sizing estimates
• Develop reliable, usable software which meets business requirements within the required timeframes while minimising technical debt
• Develop efficient, effective, secure and highly available solutions
• Provide Level 3 support and assist other team members when needed
• Script and execute automated tests as required
• Write user stories as required
• Resolve issues and risks within your immediate control and escalate when necessary
• Contribute to the strong culture of high quality, continuous improvement and innovation by following existing standards, helping to identify and enforce improvements to standards as required and sharing ideas and experience
• Contribute to the long-term maturity and future-proofing of the GLR applications
  
  

• IT or a related field qualification
• 8+ years as a software developer & 5+ years with .Net technologies including digital solutions development with modern UI/UX frameworks
• In-depth knowledge of web development frameworks SQL server, Web/Micro services, front-end (React/Angular, Typescript, SCSS, SASS & Less )
• Experience with modern API development on cloud technologies such as Azure or AWS
• Experience with middleware technologies
• Experience with Test Driven Development practices
• Experience working in Agile environment using tools like Jira and Confluence
• Experience with Micro frontend architecture, responsive design
• Experience with Azure Devops
• Solid Understanding of WAF, Front Door , APIM , Observability tools like Dynatrace, ORM’s like Dapper, Logging frameworks, Snyk and Terraform
• Good understanding of Cyber controls and principles
  
  

• Geology / Geological Sciences 
• Earth Sciences / Environmental Earth Science 
• Geophysics 
• Geoscience or Applied Geoscience 
  
  

• A genuine interest in geology and how geological models, ground conditions, resource understanding and structural interpretation support safe and productive mining operations.
• Strong analytical and observational skills, with the ability to interpret field data, think critically and contribute to geological insights and improvement ideas.
• A commitment to safety, recognising that understanding the ground and its behaviour is fundamental to safe operations and sound geological practice.
• Adaptability and resilience, as you’ll work in both field‑based and office‑based settings across dynamic operational environments.
• Clear communication and teamwork, enabling you to collaborate effectively with geologists, engineers and operational teams.
  
  

• Expertise in agentic AI and multi-agent orchestration (tools, planning, reflection, chain-of-thought)
• Build AI evaluation frameworks with metrics, benchmarks, and QA for non-deterministic systems
• Proficiency in prompt engineering, management, and security (injection prevention, guardrails)
• Ensure reliable model serving, GPU optimization, and cost-aware inference
  
  

• Design end-to-end solutions across frontend, backend, data, and AI layers
• Create architectural decision records, reference architectures, and technical design documents
• Master distributed systems, event-driven architectures, and microservices
• Develop AI data architecture (modeling, pipelines, governance)
• Design API patterns (REST, GraphQL, gRPC) for robust AI service integration
• Address security with threat modeling, responsible AI, data privacy, and compliance
  
  

• Maintain expert-level Azure/AWS/GCP cloud architectures
• Leverage AI managed services (Bedrock, SageMaker, Vertex AI, Azure OpenAI)
• Use serverless and container patterns (ECS/EKS, Cloud Run, Lambda)
• Build vector/search infrastructure (Pinecone, Weaviate, pgvector, OpenSearch)
• Apply Infrastructure as Code (Terraform, CDK, Pulumi) and GitOps
• Focus on AI FinOps and cost optimization
  
  

• Excel in Python for prototyping, review, and critical decisions
• Use TypeScript/JavaScript for full-stack design
• Employ AI frameworks (Semantic Kernel, AgentCore, etc)
• Ensure AI observability—tracing, logging, monitoring, and drift detection
  
  

• Lead technical teams and mentor engineers
• Communicate complex concepts to non-technical stakeholders
• Run architecture reviews, design workshops, and governance
  
  

• Expertise in agentic AI and multi-agent orchestration (tools, planning, reflection, chain-of-thought)
• Build AI evaluation frameworks with metrics, benchmarks, and QA for non-deterministic systems
• Proficiency in prompt engineering, management, and security (injection prevention, guardrails)
• Ensure reliable model serving, GPU optimization, and cost-aware inference
  
  

• Design end-to-end solutions across frontend, backend, data, and AI layers
• Create architectural decision records, reference architectures, and technical design documents
• Master distributed systems, event-driven architectures, and microservices
• Develop AI data architecture (modeling, pipelines, governance)
• Design API patterns (REST, GraphQL, gRPC) for robust AI service integration
• Address security with threat modeling, responsible AI, data privacy, and compliance
  
  

• Maintain expert-level Azure/AWS/GCP cloud architectures
• Leverage AI managed services (Bedrock, SageMaker, Vertex AI, Azure OpenAI)
• Use serverless and container patterns (ECS/EKS, Cloud Run, Lambda)
• Build vector/search infrastructure (Pinecone, Weaviate, pgvector, OpenSearch)
• Apply Infrastructure as Code (Terraform, CDK, Pulumi) and GitOps
• Focus on AI FinOps and cost optimization
  
  

• Excel in Python for prototyping, review, and critical decisions
• Use TypeScript/JavaScript for full-stack design
• Employ AI frameworks (Semantic Kernel, AgentCore, etc)
• Ensure AI observability—tracing, logging, monitoring, and drift detection
  
  

• Lead technical teams and mentor engineers
• Communicate complex concepts to non-technical stakeholders
• Run architecture reviews, design workshops, and governance