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• Cloud Architecture & Solution Design
• Lead comprehensive architectural design for workloads on GCP and AWS, including compute, storage, networking, data, containers, and serverless technologies.
• Create detailed high- and low-level design documentation, architecture diagrams, and deployment models.
• Drive modernization efforts such as containerization (GKE, EKS), microservices, serverless models, event-driven architectures, and advanced data platforms.
• Engineer sophisticated multi-cloud and hybrid cloud environments leveraging Anthos, interconnectivity between GCP/AWS, and seamless on-premises integration.
• Provide expert technical direction to engineering and DevOps teams during solution design, implementation, migration, and optimization phases.
• Define and ensure compliance with architecture standards, guardrails, design patterns, and reusable templates.
• Review Infrastructure-as-Code (IaC) using Terraform and CloudFormation, and oversee CI/CD pipeline maturity focusing on security, resilience, and automation.
• Ensure solutions comply with enterprise governance, regulatory, and compliance mandates (e.g., ISO 27001, NIST, CIS benchmarks).
• Architect migration strategies encompassing rehosting, replatforming, refactoring, container migration, and modernization of data pipelines.
• Conduct readiness assessments, TCO/ROI analysis, and application dependency mapping.
• Establish landing zones within GCP and AWS integrating robust security, monitoring, and automation practices.
• Implement Zero Trust models, native security controls, IAM/RBAC, KMS, encryption, web application firewalls, and network segmentation.
• Architect highly available systems and disaster recovery solutions utilizing multi-zone and multi-region capabilities.
• Optimize performance through autoscaling, caching, load balancing, and service mesh technologies (Istio, Anthos, Envoy).
• Collaborate with client CTOs, architects, and business leaders to define and advance cloud strategies and transformation roadmaps.
• Provide thought leadership on emerging trends such as AI/ML integration, advanced data platforms, FinOps, and edge computing.
• Present architectural proposals, risk assessments, and governance recommendations to stakeholders.
• Design and implement end-to-end automation pipelines for build, test, release, and operational workflows.
• Partner with Site Reliability Engineering (SRE) teams to facilitate observability, SLO/SLI tracking, error budgeting, and automated operations.
• Oversee centralized logging and monitoring using CloudWatch, Cloud Monitoring, Prometheus/Grafana, and SIEM tools.
  
  

• Expert knowledge of GCP services: Compute Engine, GKE, Cloud Run, BigQuery, VPC, Load Balancing, Cloud SQL, IAM, KMS.
• Advanced proficiency with AWS services: EC2, EKS, Lambda, RDS, S3, VPC, Route 53, KMS, IAM, DynamoDB.
• Strong expertise in Terraform, CloudFormation, and CI/CD tools (GitHub Actions, GitLab, Jenkins, ArgoCD).
• In-depth understanding of networking, VPC design, interconnectivity options, load balancing, and service mesh.
• Expertise in container orchestration (GKE/EKS), Kubernetes security, networking, and autoscaling.
• Proven experience in data migration, ETL/ELT processes, analytics, and cloud-native storage models.
• Familiarity with FinOps, cost modeling, right-sizing, and cloud optimization techniques.
  
  

• Demonstrated ability to create enterprise-class architectures and strategic transformation roadmaps.
• Extensive experience transitioning legacy monolithic applications to microservices architectures.
• Proficient in defining cloud landing zones and platform engineering frameworks.
  
  

• Outstanding communication skills, particularly for CxO-level audiences.
• Strong stakeholder management and cross-functional team leadership.
• Experience guiding large, diverse architecture and engineering organizations.
  
  

• GCP Professional Cloud Architect and AWS Certified Solutions Architect – Professional certifications.
• Practical expertise with Anthos, hybrid cloud, and multi-cloud service meshes.
• Experience in regulated sectors such as banking, telecommunications, or public sector.
• A minimum of 10 years in architecture roles, including at least 5 years in cloud-native environments.
  
  

✈️ About Smart Freight Centre 

Think about the package that just arrived at your doorstep; the products on store shelves, or the goods being shipped across oceans. Logistics is everywhere, powering the world we live in. And because it’s everywhere, it’s also one of the biggest contributors to carbon emissions globally. 

That’s where Smart Freight Centre (SFC) steps in. We’re tackling the carbon footprint of logistics head-on, working with businesses, governments, and key players around the globe. Our mission? To transform the logistics sector into a zero-emission industry by 2050, or hopefully even sooner. Want to help drive this change? Join us. 

Smart Freight Centre (SFC) is an NGO that has gained a lot of attention during the past 10 years, as we have been leading the way to an efficient and zero-emissions global freight sector. We drive transparency and mobilize multinational companies and their logistics partners to take action. This is done through globally standardized guidelines for industry to calculate, report, and reduce emissions. 

✏️ About the position 

The automation and systems specialist owns and improves the “connective tissue” of the organization: automations, integrations, and the reliable flow of data between systems (Salesforce, Academy/LMS, Member portal, Microsoft 365, finance/HR tools). The goal is to reduce manual work, increase data accuracy, and help teams ship products and updates smoothly. 

This role will work across SFC with focus on strategic services, reporting to the Director Strategic Services, servicing the Academy platform, Community platform, Website, and Salesforce as well as support with integrations and automations across other key operational platforms. 

⏰ Hours: 40 hours/week 

⚓ Location: Amsterdam (hybrid work) Minimum 2 days per week in office location

⌛ Starting date: 1st April 2026

    Salary Range: €4,167 – €4,583 gross per month inclusive of 8% holiday allowance

⭐ Here’s an idea of what tasks you might be working on 

• Automation & Integrations (Core): Design and maintain automated workflows (n8n, Zapier or similar) and system integrations via REST APIs. Build reliable automations with proper error handling, monitoring, documentation and logging. Partner with teams to translate operational needs into scalable, efficient system solutions.
• Salesforce Enablement (Major Focus): Work closely with the Salesforce owner to strengthen data structures, Flows, and reporting. Write and maintain SOQL queries and manage core objects (Leads, Contacts, Opportunities, Campaigns, Pricebooks). Help position Salesforce as a trusted source of truth across the organization.
• Web & Platform Support (Supporting): Support website and member platforms (e.g., LearnWorlds, Hivebrite) within no-code environments. Apply strong UX judgment to improve clarity, structure, and conversion. Collaborate with Academy, Account Management, Communications and other member teams to deliver platform enhancements. Proactively identifying opportunities for improvement as you go.
• Cross-Team Systems Delivery: Translate requirements from Marketing, Programs, Events, and Finance into practical system solutions. Document workflows and processes to ensure knowledge continuity. Continuously improve internal systems to support organizational growth.
• Events & Programs Operations (Seasonal Peak): Support major events through system integrations and operational workflows. Connect event platforms with Salesforce to maintain accurate registration and attendance data. Ensure backend processes run smoothly during high-impact delivery periods.

⭐ Skills and Capabilities

• Skilled at n8n, Zapier and the like 
• Knowledge of APIs (REST, JSON, endpoints status codes 
• Familiar with oAuth2 / API Keys
• Basic UI/UX design sense (layout, information hierarchy, conversion, accessibility)
• Knowledge of common workflowpattersincluding merges, loops, pagination, dedupe, idempotency, retries etc. 
• Systems thinking ability – can design how data should flow’
• Good understanding of data hygiene (normalization, unique IDs, conflicthandlingetc.)
• “Debug mindset”: tracing the root cause and crafting robust foxes
• Confidence working with multiple stakeholders 
• Willingness and ability to work independently

⭐ Bonus Skills and Capabilities​

• Salesforce admin/architecture experience (Flow Builder, permissions, data model)
• Light coding ability:JavaScript(n8n code nodes),Python(scripts/AI prototypes)
• Experience with LMS platforms (LearnWorldsor similar)
• AI/LLM familiarity: Prompting AI models, RAG concepts (useful but notrequired)

❤️Join a culture of collaboration, innovation, and sustainability. What you will get:

At Smart Freight Centre, we believe in collaboration, creativity, and sustainability. We value everyone’s ideas and create a welcoming space where you can grow and make an impact. 

• Take time for yourself: Enjoy 27 days of holiday and 10 public holidays to relax, recharge, and do what matters most to you. 
• Right where you need to be: Our office is located in the heart of Amsterdam, offering the perfect base for hybrid working. 
• Travel made easy: If you’re in the Netherlands, we’ll provide you with an NS Business card, so commuting is one less thing to worry about. 
• Bike loan scheme: Prefer cycling? We’ll help you get rolling with our bike loan program. 
• Grow with us: We provide learning opportunities; you can keep building your skills and knowledge. 
• Care for your mind: Full access to OpenUp means you can connect with psychologists, join mindfulness classes, and explore courses to support your mental health. 
• Good times guaranteed: Whether it’s a creative workshop, a fun challenge, or some drinks and bites, join our team-building activities and enjoy time with your colleagues. 

Join a small, technically strong team building the core platform for a complex, data-intensive software product. A solid AI usecase that is solving a real problem with massive impact that everyone can relate to. This is a foundational engineering role with equity that reflects this.

You will drive a multi-cloud platform/infrastructure (mainly Azure/GCP) and Backend Engineering (Python/FastAPI). The team heavily uses AI agents and other tooling to move efficiently, while maintaining a strong focus on system quality and maintainability.

What You’ll Do

Backend & Platform Engineering

• Own and evolve backend architecture for a distributed systems
• Build backend services using Python, FastAPI, and relational databases
• Design APIs, background processing, and job orchestration
• Implement secure and scalable data flows

Infrastructure & Deployment

• Build systems that run across multiple environments (Azure/GCP and private setups)
• Ensure logical separation between customer environments
• Design identity, networking, and service integrations
• Maintain Infrastructure-as-Code using Terraform or similar tools

Operations & Reliability

• Build and maintain CI/CD pipelines
• Implement logging, metrics, and tracing
• Improve automated testing and system robustness

Security & Integrations

• Design systems with security and compliance in mind
• Build secure APIs and external integrations
• Implement authentication and authorization mechanisms

Collaboration

• Work closely with Founders, engineers and product stakeholders
• Participate in architectural discussions and technical decision-making
• Collaborate with client technical teams

Who You Are

Technical

• Significant experience in Platform/Backend engineering
• Strong understanding of distributed systems and backend architecture
• Proficient in Python backend development with FastApi
• Experience with cloud infrastructure (Mainly Azure/GCP) and containerized systems
• Familiar with CI/CD pipelines and Infrastructure-as-Code (Terraform)
• Comfortable operating and evolving systems in production

Professional

• Strong ownership mindset
• Clear communicator
• Enjoys technical problem-solving and thoughtful debate
• Comfortable working in small, high-responsibility teams

Compensation & Practicalities

• Competitive compensation with solid equity that matches a founding engineer position
• Hybrid work setup with regular in-office collaboration
• High-quality development equipment
• Standard benefits package

• Bewaken en analyseren van productie‑ en testomgevingen, met speciale aandacht voor e‑invoicing‑ en Peppol‑flows.
• Complexe incidenten onderzoeken, inclusief XML/UBL‑validatie, Peppol‑routing en API‑interacties tussen ketenpartners.
• Ondersteunen van releases, changes en deployments van het Exchange‑platform.
• Issues vertalen naar duidelijke, actiegerichte tickets die developers direct kunnen oppakken.
• Structurele verbeteringen voorstellen voor monitoring, foutdetectie, stabiliteit en performance.
• Afstemmen met support, development en business wanneer incidenten impact hebben op transactiestromen, factuurverwerking of Peppol‑communicatie.
• Meedenken over procesverbeteringen in een domein dat snel ontwikkelt door regelgeving (o.a. Europese e‑invoicing/e‑reporting‑initiatieven).
  
  

• Begrip van of interesse in e‑invoicing, UBL, creditnota‑verwerking, factuurvalidatie en documentstromen.
• Ervaring met het Peppol‑netwerk (routing, SMP/SML, certificaten, compliance, foutstromen).
• Je vindt het leuk om processen te doorgronden en ziet fouten als puzzels die opgelost moeten worden.
  
  

• Ervaring met applicatie‑operations, monitoring, logging en incidentanalyse.
• Kennis van XML, XSD, XSLT, JSON, inclusief foutanalyse en validatie.
• Basiskennis van API’s en ketenintegraties.
• AWS‑fundamentals (Cognito, DynamoDB, S3, CloudWatch, SES zijn een pré).
• Je kunt code lezen (pré: Python, Node.js, JavaScript, Java).
  
  

• Je werkt op het snijvlak van applicatie‑operations én e‑invoicing/Peppol‑ketens, een schaars en groeiend vakgebied.
• Directe impact op honderden organisaties die facturen, berichten en transacties via ons platform uitwisselen.
• Veel ruimte om processen te verbeteren en technologische keuzes te beïnvloeden.
• Moderne AWS‑omgeving, maar zonder infra‑beheerverantwoordelijkheid.
• Een team dat graag samenwerkt en sterk is in integraties, transactienetwerken en e‑facturatie.
  
  

• Een salaris tussen de €4.000 - €6.000,-
• Sterke secundaire arbeidsvoorwaarden.
• Hybride werken en flexibele werktijden.
• Ruimte voor opleiding en certificeringen (bijv. Peppol, AWS).
• Een cultuur waarin professionaliteit, pragmatisme en humor goed samengaan.
  
  

Word jij enthousiast van het bouwen aan een data platform dat dagelijks miljoenen beslissingen slimmer maakt? Krijg jij energie van Python development op het snijvlak van data, cloud en schaalbare platformen? En wil je met jouw code directe impact maken op miljoenen klanten? Dan is dit jouw kans om het verschil te maken bij Independer. Lees snel verder en ontdek of wij een match zijn.

Jouw uitdaging als Python Developer / Data Engineer

Het Data Platform is het kloppend hart van Independer. Dagelijks verwerken we miljoenen datapunten om consumenten slimmer, beter en persoonlijker te helpen bij het kiezen van hun vaste lasten. De komende jaren bouwen we verder aan een modern, schaalbaar en toekomstbestendig platform dat de basis vormt voor alle data‑ en AI‑producten binnen Independer.

Als Python Developer / Data Engineer binnen het Data Platform Team (met meerdere data engineers als directe collega) speel jij een sleutelrol in het ontwikkelen van dataservices en API’s waarop productteams, data scientists en ML‑oplossingen dagelijks vertrouwen. Je werkt nauw samen met data engineers, ML engineers en productteams en draagt actief bij aan de verdere ontwikkeling van ons platform en onze engineeringcultuur.

Concreet ga je aan de slag met:

Ontwikkelen & bouwen

• Ontwikkelen van hoogwaardige Python‑gebaseerde dataservices en API’s die productteams en AI‑oplossingen voeden.
• Bouwen van robuuste event‑ en data‑integraties (REST, streaming, messaging).
• Ontwerpen van schaalbare oplossingen binnen onze Azure‑gebaseerde data‑architectuur (o.a. Functions, Containers, Storage, Service Bus, KeyVault).

Data platform & pipelines

• Samenwerken met data engineers aan reverse ETL‑ en ELT‑processen, met focus op kwaliteit en performance (bijv. Spark, Databricks).
• Ontwikkelen van API‑lagen bovenop data‑modellen en domeinservices.

Platform reliability

• Inrichten en verbeteren van CI/CD‑automatisering (GitHub Actions / Azure DevOps).
• Meedenken over monitoring, logging, security‑standaarden en platformarchitectuur.

Samenwerken & cultuur

• Samenwerken met data engineers, ML engineers, productteams en domeinexperts.
• Actief bijdragen aan onze engineeringcultuur: clean code, testen, reviews en kennisdeling.

Wat krijg jij van ons?

• Werken aan een data platform met directe impact op miljoenen klanten;
• een dynamische omgeving waarin wordt geëxperimenteerd met de nieuwste technologieën zoals Databricks, Lakebase, AKS-Automatic
• Een mooi salaris, vakantiegeld en een jaarlijkse bonus
• 30 vakantiedagen en een premievrij pensioen
• Reiskostenvergoeding en een thuiswerk- en internetvergoeding
• De mogelijkheid om voor 50% vanuit huis te werken
• In de winter in de zon werken? Ga een aantal weken op workation
• Veel ruimte om te groeien en ontwikkelen d.m.v. ons brede opleidingsaanbod
• Leuke events, borrels en sportactiviteiten
• Dagelijks een uitgebreide en gezonde lunch
• Een fijn kantoor met gratis parkeergelegenheid en Station Hilversum op loopafstand
• En natuurlijk een bedrijf vol enthousiaste collega’s!

Wat zoeken wij in een Python Developer/Data Engineer?

Je bent een gedreven Python Developer/Data Engineer met affiniteit voor data en cloudplatformen. Je combineert technische diepgang met een pragmatische mindset en weet complexe systemen begrijpelijk te maken. Je krijgt energie van bouwen, verbeteren en samenwerken.

Must‑haves

• 2–4 jaar ervaring als Python Developer;
• Ervaring met Databricks en Spark;
• Ervaring met het bouwen van API’s (bijv. FastAPI), microservices of cloud‑native applicaties;
• Ervaring met CI/CD, Git en geautomatiseerde deployment pipelines;
• Kennis van SQL en datamodellering;
• Begrip van reverse ETL‑ en ELT‑concepten.

Nice‑to‑haves

• Ervaring met data engineering;
• Ervaring met Azure (Functions, App Services, containers, DevOps‑principes);
• Kennis van Docker en Infrastructure as Code (Terraform/Bicep);
• Affiniteit met CDC‑architecturen, Kafka of realtime datastromen;
• Kennis van authenticatie‑ en autorisatieconcepten zoals Auth0 of Entra ID.

Waarom Independer?

Independer is één van de grootste online platformen van Nederland, maar voelt als een hechte club van specialisten. Dat maakt ons wendbaar en zorgt ervoor dat alles wat jij bouwt echte impact heeft. Als Python Developer binnen het Data Platform Team werk je aan de fundering van onze data‑ en AI‑producten en draag je direct bij aan betere keuzes voor miljoenen consumenten.

Het DNA van Independer kenmerkt zich door optimisme, klantgerichtheid en actief samenwerken. Dit zie je terug in een werkomgeving waarin je volledig jezelf kunt zijn, zelf de regie hebt over je professionele ontwikkeling en alle vrijheid krijgt om je werk naar eigen inzicht uit te voeren. Daarnaast werk je op een plek waar je in de pauzes kunt poolen of tafeltennissen, én heb je de mogelijkheid om hybride te werken.

We mogen onszelf officieel een Great Place to Work noemen. We hebben de titel gekregen van onze collega's en Great Place to Work Nederland. Wat dat inhoudt? Onze collega's noemen dit een fijne organisatiecultuur waar ze met veel plezier, vertrouwen en trots willen werken.

Interesse? Solliciteer direct!

We are recruiting an Interim Security Analyst for an international Financial Services company in Amsterdam. We are seeking a skilled Interim Security Analyst with technical security knowledge and a passion for data-driven decision-making. During this assignment, you will monitor and improve the security posture by analyzing threats, tracking security metrics, and producing insightful dashboards that support operational and strategic security initiatives. The assignment is for 6 months. Are you interested? Please keep reading!

Description

Key responsibilities
Security Monitoring & Incident Response
* Monitor and analyze security alerts, logs, and system events to identify suspicious or abnormal activity.
* Perform initial triage and investigation of security incidents and escalate when needed.
* Support continuous improvement of threat detection capabilities (e.g., playbooks, SIEM rules, automation).

Security Metrics, Reporting & Dashboarding
* Define, measure, and track key security metrics (e.g., vulnerabilities, IAM data, detection/response KPIs).
* Consolidate data from multiple security tools and sources (SIEM, EDR, IAM, scanners).
* Build and maintain dashboards (Power BI, Tableau, Excel, etc.) to provide clear visibility for management and operational teams.
* Translate technical data into digestible insights and recommended actions.
* Prepare recurring security reports (weekly, monthly, quarterly).

Security Operations Support
* Assist in maintaining and improving security tooling (e.g., SIEM, EDR, IAM, vulnerability scanning).
* Support vulnerability management processes and monitor remediation progress.
* Contribute documentation and evidence for audits, compliance checks, and security reviews.

Profile Interim Security Analyst
* Bachelor's degree in Information Security, Computer Science, or related field or relevant work experience.
* At least 2 years of experience in security operations, SOC, IT security, or related roles.
* Strong understanding of security concepts including, Threat detection & response, Vulnerability management, Access controls & identity security, Logging & monitoring.
* Experience working with SIEM tools (e.g., Splunk, Sentinel, QRadar, LogRhythm).
* Proficient in data analysis using Excel, SQL, or similar tools.
* Hands-on experience with dashboarding tools (e.g., Power BI, Tableau).
* Ability to interpret technical data into clear business insights.
* Strong analytical, problem-solving, and communication skills.
* Experience with scripting (Python, PowerShell, KQL) is nice to have.
* Familiarity with cloud security (Azure, AWS, or GCP is nice to have.
* Experience with automation or SOAR platforms is nice to have.

Assignment
Duration: 6 months
Hours: 32-40 hours
Start: Mid-March
Location: 2 days in the office (Amsterdam)
Rate: Hourly

Are you available and interested? Please apply asap online!

Robert Walters Netherlands is acting as an Employment Business in relation to this vacancy.

Join a small, technically strong team building the core platform for a complex, data-intensive software product. A solid AI usecase that is solving a real problem with massive impact that everyone can relate to. This is a foundational engineering role with equity that reflects this.

You will drive a multi-cloud platform/infrastructure (mainly Azure/GCP) and Backend Engineering (Python/FastAPI). The team heavily uses AI agents and other tooling to move efficiently, while maintaining a strong focus on system quality and maintainability.

What You’ll Do

Backend & Platform Engineering

• Own and evolve backend architecture for a distributed systems
• Build backend services using Python, FastAPI, and relational databases
• Design APIs, background processing, and job orchestration
• Implement secure and scalable data flows

Infrastructure & Deployment

• Build systems that run across multiple environments (Azure/GCP and private setups)
• Ensure logical separation between customer environments
• Design identity, networking, and service integrations
• Maintain Infrastructure-as-Code using Terraform or similar tools

Operations & Reliability

• Build and maintain CI/CD pipelines
• Implement logging, metrics, and tracing
• Improve automated testing and system robustness

Security & Integrations

• Design systems with security and compliance in mind
• Build secure APIs and external integrations
• Implement authentication and authorization mechanisms

Collaboration

• Work closely with Founders, engineers and product stakeholders
• Participate in architectural discussions and technical decision-making
• Collaborate with client technical teams

Who You Are

Technical

• Significant experience in Platform/Backend engineering
• Strong understanding of distributed systems and backend architecture
• Proficient in Python backend development with FastApi
• Experience with cloud infrastructure (Mainly Azure/GCP) and containerized systems
• Familiar with CI/CD pipelines and Infrastructure-as-Code (Terraform)
• Comfortable operating and evolving systems in production

Professional

• Strong ownership mindset
• Clear communicator
• Enjoys technical problem-solving and thoughtful debate
• Comfortable working in small, high-responsibility teams

Compensation & Practicalities

• Competitive compensation with solid equity that matches a founding engineer position
• Hybrid work setup with regular in-office collaboration
• High-quality development equipment
• Standard benefits package

• Ontwikkelen en bijhouden van detectie regels in de SIEM software;
• Detectieregels optimaliseren door verrijkingen en cross-correlaties te maken zodat security analisten meer relevante informatie tot hun beschikking hebben;
• Nauwkeurig documenteren van wijzigingen;
• Actief deelnemen en bijdragen aan de regelmatige purple teaming acties;
• Exceptie verzoeken evalueren en waar nodig opvoeren in de detectie regel;
• Vragen vanuit collega DCSC’ers of vanuit de IT organisatie beantwoorden vanuit jouw expertise;
• Advies geven over detectiemogelijkheden bij (potentiele) security incidenten.
  
  

• Minimaal drie jaar ervaring als ICT beheerder op schaal 9 niveau of hoger OF;
• Minimaal twee jaar ervaring als ICT ontwerper/architect OF;
• Minimaal twee jaar als data/IT/security analist.
  
  

• Analyseren;
• Communiceren;
• Conceptueel denken;
• Initiatief;
• Nauwkeurig;
• Samenwerken;
• Stressbestendig;
• Verantwoordelijkheid;
  
  

• Gedegen kennis en aantoonbare vaardigheid met in ieder geval een SIEM en het maken van detectie regels;
• Ervaring met het bevragen van log data door middel van queries;
• Kennis en vaardigheid in het analyseren en bewerken van logstromen;
• Kennis en vaardigheid in het identificeren, documenteren van, en rapporteren over, detectiescenario’s en bijbehorende usecases;
• Een cybersecurity mindset hebben en denken vanuit een detectie oogpunt.
  
  

• Zonder motivatiebrief en cv wordt jouw sollicitatie niet in behandeling genomen.
• Deze vacature is zowel in- als extern gepubliceerd, bij gelijke geschiktheid krijgen interne kandidaten de voorkeur.
• Als je de status van re-integrant of herplaatsingskandidaat hebt, of gaat krijgen, lezen we dit graag in het bericht dat je sollicitatie begeleidt.
• Houd er rekening mee dat de selectiegesprekken 1 á 2 weken na de sluiting van de vacature plaatsvinden.
• Om in aanmerking te komen voor deze functie moet je de Nederlandse taal beheersen, zowel in woord als schrift. Daarnaast moet je afkomstig zijn uit een land uit de Europese Economische Ruimte. Mocht je niet uit de EER komen dan beschik je over een gecombineerde vergunning voor verblijf en arbeid (GVVA).
• Voor deze functie dient men gescreend te worden op A niveau door de MIVD. Deze screening kan enige tijd (ongeveer 8-12 weken) in beslag nemen. Pas als de screening met een positief resultaat is afgerond kan de kandidaat definitief worden aangenomen.
• Een assessment kan onderdeel zijn van het sollicitatietraject.
  
  

🚀 ¡Seguimos buscando talento…y nos encantaría que te unieras a nuestro equipo!

Para que nos conozcas algo mejor, UST es una multinacional norteamericana certificada como Top Employer y Great Place to Work con más de 35.000 empleados a nivel global y con presencia en más de 35 países. Somos líderes en servicios de tecnología digital y proporcionamos soluciones tecnológicas de gran alcance a grandes compañías.

🔎 ¿Qué buscamos?

Estamos buscando un Technical Lead con experiencia en Java para trabajar con uno de nuestros clientes.

⚙ ¿Cuáles serán tus responsabilidades?

• Liderar el equipo de desarrollo para garantizar la entrega puntual de software de alta calidad.
• Diseñar, construir y mantener librerías Java eficientes, reutilizables y fiables utilizadas en toda la compañía.
• Guiar y mentorizar a ingenieros junior para mejorar sus habilidades y rendimiento.
• Garantizar el mejor rendimiento, calidad y capacidad de respuesta de las aplicaciones.
• Definir y revisar estándares de codificación y buenas prácticas.
• Trabajar alineado con los objetivos y la visión definidos por Product Management.
• Mantener al equipo actualizado con las últimas funcionalidades de Java y Spring.
• Formar y dar soporte a otros equipos en el uso eficaz de la librería.
• Participar en todo el ciclo de vida del desarrollo de software, incluyendo ocasionalmente QA y revisiones entre pares (peer review).

💡 ¿Qué esperamos de ti?

• Sólidos conocimientos de Java y experiencia en el desarrollo de aplicaciones robustas y fiables.
• Amplia experiencia con Spring y Spring Boot.
• Sólidos conocimientos de Spring Security.
• Experiencia en arquitecturas reactivas (Spring WebFlux, Reactor Netty, RXJava, etc.).
• Experiencia en arquitecturas de microservicios (REST, API Gateway, etc.).
• Experiencia con Maven para la gestión de builds y dependencias.
• Experiencia con JUnit, TDD y pruebas end to end.
• Sólida comprensión de programación orientada a objetos y patrones de diseño.
• Experiencia creando librerías Java reutilizables para múltiples proyectos.
• Fuertes habilidades de comunicación y liderazgo, con capacidad para guiar equipos.
• Capacidad para mantenerse actualizado en las últimas funcionalidades de Java y Spring.

Deseables:

• Experiencia con OAuth 2.0, gestión de JWKS y mecanismos de autenticación.
• Experiencia en logging, monitorización y observabilidad (ELK, Prometheus, OpenTelemetry).
• Experiencia con Docker y Kubernetes para el despliegue de microservicios.
• Conocimiento de herramientas de orquestación de contenedores.
• Experiencia con plataformas cloud (AWS, OpenShift). Conocimiento de servicios AWS (valorable).
• Experiencia con pipelines CI/CD y herramientas como Jenkins, GitHub Actions o similares.
• Experiencia trabajando en entornos Agile con equipos multidisciplinares.
• Experiencia en arquitecturas orientadas a eventos / mensajer a (RabbitMQ, Kafka o similares).
• Deseable: fuertes habilidades de comunicación para colaborar eficazmente con equipos multifuncionales.

💰 ¿Qué te ofrecemos?

✈️ 23 días laborables de vacaciones y el 24 y 31 de diciembre.

❤️ Numerosos beneficios sociales (seguro médico, ayuda al teletrabajo, seguro de vida y seguro de accidentes).

🍴 Programa de Retribución Flexible (tarjeta comida, cheques guardería, tarjeta transporte, clases de inglés online, seguro médico para tu familia…).

🎓 Acceso gratuito a varias plataformas de formación.

🚀 Estabilidad y carrera profesional.

🚶 Tenemos implantado un plan de compensación de referencias internas.

🔗 Posibilidad de elección de percibir tu salario en 12 o 14 pagas.

🏡 Medidas de conciliación (horario flexible, teletrabajo, asesoramiento de especialistas (psicólogo, nutricionista, entrenador personal), jornada intensiva los viernes y en verano según proyecto).

🎁 Plataforma UST Club descuentos y descuentos en gimnasios.

📧 Si quieres conocer más, no dudes en inscribirte y nos pondremos en contacto contigo para ampliarte información de la posición ¡Te estamos esperando!

En UST nos comprometemos con la igualdad de oportunidades en nuestros procesos de selección y no realizamos ningún tipo de discriminación por razón de raza, género, discapacidad, edad, religión, orientación sexual o nacionalidad. Estamos comprometidos con la discapacidad y apostamos por la incorporación de personas con certificado de discapacidad.

• Modalidad remoto 100%
• Horario flexible.
• Plan de formación continua.
• Formarás parte de un equipo consolidado y con experiencia.
• Retribución flexible y competitiva.
  
  

• Desarrollo de automatizaciones RPA empresariales (preferiblemente con UiPath: Studio, Orchestrator, colas, assets, REFramework o patrones equivalentes.
• Trabajarás con selectores, Computer Vision o automatización híbrida UI/API
• Trabajarás con lenguajes y scripting VB.NET o C# para lógica dentro de UiPath.
• Realizarás consultas con SQL, validaciones y control de datos.
  
  

• 4 años de experiencia mínima como desarrollador/a de automatizaciones RPA empresariales (preferiblemente con UiPath), con foco en robustez y mantenibilidad.
• Buen entendimiento de integraciones, APIs y entornos corporativos.
• Conocimiento de selectores, Computer Vision o automatización híbrida UI/API
• Conocimientos de lenguajes y scripting VB.NET o C# para lógica dentro de UiPath
• Conocimiento de SQL para consultas, validaciones y control de datos.
• Nivel conversación de inglés.
• Capacidad para analizar procesos de negocio y convertirlos en automatizaciones escalables.
• Autonomía en el trabajo diario, con buena colaboración con perfiles senior o de arquitectura y mentalidad orientada a calidad
  
  

• Conocimientos de logging, monitorización y testabilidad desde el diseño.
• Manejo básico de PowerShell o scripting para tareas auxiliares .
  
  

• Please note this role is available to candidates based in Poland and Spain*
  
  

• Proficiency in Python
• Strong database management experience with PostgreSQL.
• Expertise in writing comprehensive test suites and using automated testing frameworks
• Experience designing and implementing scalable architectures (microservices, event-driven systems)
• Familiarity with Docker and building CI/CD pipelines
• At a minimum, we require conversational-level English language skills. Why? English is our company language and is used for any business-wide communications, so we need you to be able to speak English to feel like an integrated part of Booksy
  
  

• A passion for mentoring and guiding other developers
• Experience with observability practices (logging, monitoring, and alerting)
• Continuous learning mindset to stay updated with new technologies
  
  

• This is a fully remote position, we take pride in being a globally distributed team
• Private medical care - terms depends on location
• Access to wellbeing tool - Worksmile
• Our other benefits will vary due to your location, please ask your talent partner for more detail
  
  

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

We're looking for a Solution Architect to join our team in Valencia (office work).

✅Responsibilities

✔️ Identify bottlenecks in infrastructure and optimize system performance;

✔️ Design fault-tolerant systems and implement disaster recovery strategies;

✔️ Enforce security standards for applications and infrastructure;

✔️ Review substantial changes and design documents, and propose better solutions and best practices for faster and scalable applications;

✔️ Optimize cloud and on-premise resources for cost-efficiency and scalability;

✔️ Help implement the long-term roadmap of the organization’s IT infrastructure;

✔️ Support automation testing, deployment, and monitoring processes to accelerate software delivery;

✔️ Evaluate and recommend architectural improvements, such as transitioning to microservices and micro-frontend architecture.

✅ Requirements:

✔️ Bachelor's, Master's, or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or any relevant field;

✔️ 10+ years of experience in Software Engineering and/or DevOps;

✔️ 5+ years hands-on experience in cloud technologies (ideally AWS);

✔️ Extensive hands-on experience with K8s and containers, infrastructure, and system design, SQL and NoSQL databases, storage, caching, and logging;

✔️ Proven work on scalable, fast, resilient system designs.

✅ We offer excellent benefits, including but not limited to:

🧑🏻 💻 Learning and development opportunities and interesting, challenging tasks;

✈️ Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members);

📚 Opportunity to develop language skills, with partial compensation for the cost of language classes (for localization purposes);

🏥 Private medical coverage;

🏝 Time for proper rest, with paid vacation and sick leaves;

📈 Competitive remuneration level with annual review;

🤝 Teambuilding activities.

En AIT Tech Venture estamos construyendo HABITTOS, una plataforma que combina hábitos, inteligencia artificial y datos reales del CRM para crear el primer OS de Growth y RevOps basado en disciplina.

Un sistema que captura insights de clientes, sintetiza información crítica, puntúa actividad comercial, detecta riesgos del funnel y entrena equipos con un copiloto inteligente.

Estamos convirtiendo datos en acción.

Acción en hábitos.

Hábitos en crecimiento predecible.

Y queremos que te unas al equipo que lo hará realidad.

Desarrollo del Core Backend

• Diseñar y construir los servicios backend del MVP (12–16 semanas).


• Crear endpoints robustos y escalables para:


• Captura de transcripciones y metadatos.


• Síntesis y clasificación de insights.


• Funnel Health (KPIs, aging, actividad, movimientos de etapa).


• Sistema de scoring, badges y gamificación.


• Gestión de prioridades, 1:1 y rachas semanales.


• Biblioteca + RAG básico.


• Dashboard de rendimiento.


• Integraciones iniciales (CSV/Sheets + HubSpot OAuth)

Integraciones con herramientas externas

• Conexión con APIs de transcripción (Whisper, Zoom, Meet).


• Webhooks para Slack.


• Integración HubSpot (auth, mapeos, sync incremental).


• Preparación de conectores futuros (Salesforce, Pipedrive).

Arquitectura, seguridad y escalabilidad

• Arquitectura multi-tenant.


• Capa de permisos RBAC.


• Cifrado, retención de datos, logging y observabilidad.


• Preparación para analítica de producto y telemetría avanzada.

IA aplicada

• Orquestar el flujo Captura → Síntesis → Loops accionables.


• Integración con LLMs para clasificación, TL;DR, bullets accionables, objeciones, sugerencias de tareas.

Trabajo con el equipo

• Participar activamente en los sprints de 12–16 semanas del MVP.


• Proponer mejoras técnicas, refactorings y nuevas capacidades.


• Trabajar mano a mano con Frontend, PM y UX/UI.

Must

• 
  

  +3 años de experiencia como Backend Engineer.

  
  


• 
  

  Dominio de uno de estos stacks:

  
  


• 
  

  Node.js (NestJS/Express)

  
  


• 
  

  Python (FastAPI/Django)

  
  


• 
  

  Experiencia real con arquitecturas de:

  
  


• 
  

  APIs REST y microservicios.

  
  


• 
  

  Bases de datos SQL (PostgreSQL preferible).

  
  


• 
  

  Auth (OAuth2, JWT).

  
  


• 
  

  Integración con APIs de terceros.

  
  


• 
  

  Entendimiento sólido de:

  
  


• 
  

  Webhooks.

  
  


• 
  

  Procesamiento asíncrono (queues, workers).

  
  


• 
  

  Event bus / mensajería.

  
  


• 
  

  Seguridad y protección de datos.

  
  


• 
  

  Experiencia diseñando productos multi-tenant.

  
  

Plus fuertes

• Haber trabajado con HubSpot, Salesforce o CRMs similares.


• Experiencia con LLMs (OpenAI, Anthropic, embedding pipelines).


• Experiencia en sistemas de scoring, gamificación o telemetría.


• Haber trabajado en startups SaaS B2B.


• Background en RevOps, sales tooling o plataformas similares.

Formar parte del core team de un producto que puede convertirse en la nueva capa de disciplina comercial para startups en España y LATAM.

Libertad para proponer arquitectura, herramientas y decisiones técnicas clave.

Impacto directo: todo lo que construyas se verá reflejado en los dashboards, KPIs y hábitos diarios de los usuarios.

Cultura de excelencia, cero burocracia y foco total en shipping.

Trabajo 100% remoto (LATAM-friendly).

Salario competitivo según experiencia.

¿Te apasiona la IA y sueñas con construir algo que cambie la forma en que las empresas operan?

Este proyecto es para ti.

Aplica ahora y cuéntanos brevemente por qué te interesa formar parte de esta aventura.

En cuanto recibamos tu aplicación, si encajas con el perfil, te contactaremos para una primera entrevista rápida y cercana.

• Incorporación a un equipo técnico con proyectos reales desde el primer día
• Jornada flexible y plan de formación continua
• Acompañamiento de perfiles senior y entorno de aprendizaje real
• Retribución flexible y acceso a beneficios para empleados/as
  
  

• Entrevista telefónica: Una primera conversación breve para conocerte mejor y hablar sobre tu experiencia y expectativas.
• Entrevista técnica y personal: Te reunirás con nuestro equipo de captación de talento y con el responsable del área para evaluar conjuntamente tus habilidades técnicas y tu encaje en el equipo.
• Entrevista final: Conversarás con la Dirección de la Unidad de Negocio sobre tu potencial rol y cómo encaja con nuestra visión estratégica.
  
  

• Incorporación a un equipo técnico con proyectos reales desde el primer día
• Jornada flexible y plan de formación continua
• Acompañamiento de perfiles senior y entorno de aprendizaje real
• Retribución flexible y acceso a beneficios para empleados/as
  
  

• Entrevista telefónica: Una primera conversación breve para conocerte mejor y hablar sobre tu experiencia y expectativas.
• Entrevista técnica y personal: Te reunirás con nuestro equipo de captación de talento y con el responsable del área para evaluar conjuntamente tus habilidades técnicas y tu encaje en el equipo.
• Entrevista final: Conversarás con la Dirección de la Unidad de Negocio sobre tu potencial rol y cómo encaja con nuestra visión estratégica.
  
  

¿Quienes somos?

En DataDope, ayudamos a las organizaciones a obtener visibilidad completa de sus sistemas y

aplicaciones, asegurando un rendimiento óptimo, solución rápida de problemas y una mejor toma de

decisiones. Con nuestro crecimiento continuo, buscamos un Ingeniero de Preventa con experiencia

en observabilidad para unirse a nuestro equipo.

Descripción General del Puesto:

Como Ingeniero de Preventa en DataDope, serás clave en el proceso de ventas, utilizando tu

experiencia técnica en observabilidad y monitoreo para guiar a los clientes potenciales en la

comprensión de nuestras soluciones. Colaborarás con el equipo de ventas para crear soluciones a

medida, proporcionar demostraciones técnicas y resolver cualquier desafío técnico. Es

indispensable contar con un background técnico sólido, ya que actuarás como el enlace principal

entre las necesidades del cliente y nuestras capacidades tecnológicas. Tus excelentes habilidades de

comunicación y capacidad para comprender las necesidades del cliente nos ayudarán a posicionar a

DataDope como la solución preferida para mejorar la observabilidad de sistemas.

Responsabilidades Clave:

• Soporte Técnico a Ventas: Colaborar estrechamente con el equipo de ventas para entender

los requisitos del cliente, demostrar el valor de las soluciones de observabilidad de

DataDope y diseñar soluciones adaptadas a los entornos de los clientes.

• Demostraciones de Producto y Pruebas de Concepto (PoC): Realizar demostraciones

técnicas detalladas y guiar a los clientes potenciales en la configuración e implementación

de PoCs para mostrar cómo DataDope puede resolver sus desafíos de observabilidad.

• Relación con el Cliente: Construir y mantener relaciones sólidas con los clientes,

entendiendo sus necesidades comerciales y traduciendo las capacidades técnicas en

beneficios para el negocio. Ser el punto de contacto principal para consultas técnicas, participarás en la elaboración de las ofertas y preparación de documentación.

• Diseño de Soluciones: Trabajar con los clientes para diseñar arquitecturas de observabilidad

eficaces, garantizando una integración perfecta de DataDope en sus infraestructuras y

aplicaciones.

• Capacitación y Habilitación: Proporcionar capacitación técnica tanto a los clientes como a

los equipos internos, asegurando que estén actualizados con la última tecnología y las

mejores prácticas en observabilidad.

• Retroalimentación: Actuar como un puente entre los equipos de ventas, producto e

ingeniería, proporcionando retroalimentación de los clientes para ayudar a mejorar nuestras

ofertas y dar forma al desarrollo futuro.

Requisitos:

• Experiencia en Observabilidad: Amplia experiencia en herramientas y plataformas de

observabilidad, como ELK, Prometheus, Grafana, New Relic o similares, y comprensión

profunda de monitoreo, logging y trazabilidad.

• Background Técnico Indispensable: Experiencia práctica en infraestructura tecnológica,

arquitectura de sistemas y plataformas cloud, con capacidad para diseñar y explicar

soluciones técnicas complejas. Es fundamental entender la infraestructura cloud (AWS,

Azure, Google Cloud), microservicios, contenedores (Kubernetes, Docker), y pipelines de

CI/CD.

• Habilidad Comercial: Experiencia trabajando con equipos de ventas para cerrar tratos, con

la capacidad de traducir soluciones técnicas complejas en propuestas claras de valor para el

negocio.

• Habilidades de Comunicación y Relación: Excelentes habilidades interpersonales, con la

capacidad de comunicarte de manera efectiva con stakeholders técnicos y no técnicos. Debes

ser un constructor de relaciones natural, cómodo en entornos orientados al cliente.

• Capacidad para Resolver Problemas: Fuertes habilidades analíticas con la capacidad de

pensar de manera creativa para resolver los desafíos de los clientes y diseñar soluciones

complejas.

• Trabajo en Equipo: Mentalidad colaborativa con experiencia trabajando en equipos

multifuncionales.

Si tienes una sólida experiencia técnica en observabilidad y te apasiona trabajar con clientes para

resolver sus desafíos técnicos mientras construyes relaciones sólidas, ¡te invitamos a ser parte del

equipo de DataDope y transformar la manera en que las empresas gestionan sus sistemas!

¿Por qué trabajar con nosotros?

En DataDope, no solo buscamos el éxito de la empresa, sino el de nuestro equipo. 

Ofrecemos:

• Un ambiente de trabajo colaborativo, inclusivo y orientado a la innovación.
• Proyectos emocionantes que desafiarán tus habilidades y te permitirán crecer profesionalmente.
• Oportunidades de liderazgo y crecimiento personal.
• Salario competitivo acorde a tu experiencia y a las responsabilidades del puesto.
• Jornadas flexibles con un modelo híbrido (2 días en oficina)
• Jornada reducida los viernes y en verano
• 25 días de vacaciones + tu cumpleaños.
• Retribución flexible

¿Te interesa?

Si sientes que este rol es para ti y quieres ser parte del equipo que está redefiniendo el 

futuro de la observabilidad, ¡nos encantaría saber de ti! Pueden mandarnos tu CV directamente a [email protected]

¡Únete a DataDope y lidera la revolución de la observabilidad!

• Experience: 3+ years in Data Science and Artificial Intelligence, applying ML and AI solutions in production environments.
• Programming & Frameworks: Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, Pandas, or Scikit-Learn. Capable of building, training, validating, and deploying Machine Learning models end-toend.
• Machine Learning Expertise: Strong understanding of Natural Language Processing (NLP) techniques, including tokenization, embeddings, and string similarity. Ability to select the right ML approach for each problem, with solid grasp of underlying mathematical and statistical principles.
• Data Analysis: Skilled at analyzing and interpreting complex datasets to extract actionable insights and guide business decisions.
• AI/ML Engineering Practices: Hands-on experience with MLOps, CI/CD pipelines, model monitoring, and versioning using tools such as Git or Azure DevOps.
• Cloud Platforms: Experience deploying AI/ML models on cloud platforms like Azure, AWS, or GCP.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
  
  

• Generative AI (GenAI): Knowledge and practical experience with generative AI models, including Agentic AI.
• Frameworks: Experience with tools such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar frameworks for building AI applications.
• DevOps Tools: Hands-on experience with Docker and Kubernetes for scalable AI deployment.
• Trusted AI Practices: Understanding of fairness, transparency, and accountability in AI systems, with experience implementing monitoring and logging to ensure model reliability.
• Collaboration: Proven ability to work seamlessly with software engineering and operations teams for smooth AI model integration and deployment.
• Analytical Skills: Excellent problem-solving and analytical capabilities, with the ability to translate complex business requirements into technical AI solutions.
  
  

• Please note this role is available to candidates based in Poland and Spain*
  
  

• Proficiency in Python
• Strong database management experience with PostgreSQL.
• Expertise in writing comprehensive test suites and using automated testing frameworks
• Experience designing and implementing scalable architectures (microservices, event-driven systems)
• Familiarity with Docker and building CI/CD pipelines
• At a minimum, we require conversational-level English language skills. Why? English is our company language and is used for any business-wide communications, so we need you to be able to speak English to feel like an integrated part of Booksy
  
  

• A passion for mentoring and guiding other developers
• Experience with observability practices (logging, monitoring, and alerting)
• Continuous learning mindset to stay updated with new technologies
  
  

• This is a fully remote position, we take pride in being a globally distributed team
• Private medical care - terms depends on location
• Access to wellbeing tool - Worksmile
• Our other benefits will vary due to your location, please ask your talent partner for more detail
  
  

🚀 Pixie is hiring | MLOps Engineer | Freelance

📍 Location: Remote (Must reside in Portugal or Spain)

💬 Language: Fluent English required

🛠️ Tech Stack

• Databricks Mosaic AI
• Agentic AI deployment pipelines
• MLflow
• Kubernetes
• Docker
• Prometheus & Grafana
• Terraform & ARM templates
• CI/CD pipelines for ML models, agents, and data pipelines

Requirements

• Support deployment of ML pipelines, agent operations, and maintenance
• Administration of the Databricks Mosaic AI platform
• Lifecycle management of agents and models (MLflow)
• Monitoring, logging, and performance tracking of agents
• Orchestration of inference environments with Kubernetes
• Coordination of multi-agent systems and resource management
• Containerization and registry management with Docker
• Experience with monitoring tools (Prometheus, Grafana)
• Infrastructure as Code (Terraform, ARM templates)
• Development of CI/CD pipelines for models, agents, and data

✨ Nice to have

• Experience in Agile environments
• Advanced knowledge of CI/CD and cloud service monitoring
• Experience in large-scale projects with multi-system agents

📞 Interested? Send your application via LinkedIn and learn more about our projects.

🔎 Not looking at the moment? Feel free to share this opportunity with your network.

#hiring #MLOps #Databricks #Kubernetes #Docker #CI/CD #Remote #Freelance #AI #ML

At Joppy, we’re partnering with an innovative company in the HR Tech space building an AI-native platform designed to operate real-world HR workflows through autonomous agentic systems.

This is AI in production, deployed in large and complex enterprise environments where reliability, latency, observability, and cost truly matter.

We are looking for an AI Agent Engineer to build, operate, and continuously improve LLM-powered agent systems running in production.

All the desired Technical Skills we are looking for

Agent Testing & Evaluation

1. Building agent evaluation pipelines (consistency, accuracy, reliability)
2. Designing test harnesses for non-deterministic systems
3. Regression testing for prompt and model changes
4. Synthetic data generation for agent testing
5. Performance benchmarking and latency profiling

Agent Monitoring & Operations at Scale

1. Observability for agent systems (tracing, logging, metrics)
2. Cost tracking and optimization across model calls
3. Alerting on agent failures, hallucinations, and degraded performance
4. Debugging complex multi-step agent behaviors in production
5. Guardrails, safety layers, and graceful degradation strategies

LLM Expertise

1. Prompt engineering, chaining, and caching strategies
2. RAG pipelines and vector databases
3. Model selection, fine-tuning, and cost optimization
4. Understanding of evaluation metrics and benchmarks

Python & Backend

1. Async programming, Django/Channels, real-time ASGI
2. Production-grade application development
3. Message queues (Celery + Redis) and high-throughput systems
4. Testing, logging, and performance optimization

Conversational AI

1. Voice pipelines: STT, TTS, turn-taking, interruption handling
2. Telephony integration (Twilio) with latency optimization
3. Conversation flow design and fallback strategies

Full-Stack & DevOps

1. Frontend experience (React preferred)
2. CI/CD pipelines and cloud deployment (AWS/GCP)
3. Deploying and operating AI systems in production

What Success Looks Like

1. Agents behave consistently and predictably across customers and workflows
2. Failures, edge cases, and degraded behavior are detectable and recoverable
3. Agent performance, latency, and cost are measurable and actively optimized
4. New agent capabilities ship safely without breaking existing behavior
5. Customer trust in autonomous workflows increases over time

About Joppy

Joppy es una plataforma de reclutamiento tecnológico construida para developers por developers.

✅ No se requiere CV. Solo di lo que sabes y lo que quieres.

✅ Perfil anónimo por defecto.

✅ Tú eliges quién puede hablar contigo. Las empresas no pueden escribirte hasta que aceptes su oferta.

✅ Sólo ofertas relevantes que coincidan con tus preferencias. No más ofertas de Javascript para desarrolladores Java.

✅ Obtén una recompensa si te contratan.

Echa un ojo a las oportunidades de empleo tecnológico de forma anónima y encuentra el trabajo que te haga feliz.

• Title: Geology Field Technician (Remote)
• Engagement: Hourly contract (independent contractor)
• Rate: USD 55-104/hour

Job Summary

Join our customer’s team as a Geological Technician Expert – AI Trainer and leverage your geosciences expertise to shape the next generation of AI systems. This role combines field and laboratory knowledge with data annotation and technical guidance, ensuring AI models reflect real-world geological practices.

Key Responsibilities

• Collaborate with scientists and engineers to develop AI solutions for geological data analysis and interpretation.
• Use and instruct on laboratory instrumentation, including electronic, sonic, and nuclear devices, across exploration, production, and research environments.
• Review, annotate, and provide expert feedback on geological datasets, sample analyses, and operational records to improve AI model accuracy.
• Prepare sketches, geological maps, and cross-sections to support machine learning workflows.
• Analyze mud, drill cuttings, and other borehole data (pressure, temperature, and related metrics) for AI training purposes.
• Compile, log, and organize field and lab data for further analysis and AI dataset preparation.
• Participate in virtual surveys, exploratory project meetings, and knowledge-sharing sessions with both technical and non-technical teams.

Required Skills and Qualifications

• Proven experience as a Geological Technician or related roles (e.g., Core Inspector, Geotechnician, Geological E-Logger).
• Advanced knowledge of laboratory and field instrumentation, measurement techniques, and geological testing protocols.
• Exceptional written and verbal communication skills, with a strong emphasis on clarity for remote collaboration.
• Strong attention to detail in compiling, logging, and interpreting geological data.
• Proficiency in preparing sketches, geological maps, and cross-sectional diagrams.
• Experience assisting in geological, geophysical, geochemical, or oceanographic surveys and exploratory drilling programs.
• Passion for advancing AI through precise data labeling, annotation, and subject-matter expertise.

Preferred Qualifications

• Prior experience training AI or machine learning models in scientific or technical domains.
• Background in environmental sampling, materials testing, or geoscience research.
• Familiarity with digital tools and platforms for remote collaboration, dataset management, and AI workflow integration.

APPLY NOW!

• Design efficient, secure, adaptable, scalable, and reliable cloud solutions (data, networking, application) 
• Drive all technical design and execution activities for moving existing on-premise infrastructure, server workloads, data and applications to the cloud IaaS and PaaS architectures. 
• Communicate and socialize design and architecture design decisions. 
• Communicate with senior leaders regarding the architecture, discuss problems and recommend solutions and improvements.   
• Interact and work with application and business team members to provide the optimal environment for applications to deliver business functionality. 
• Introduce and develop Infrastructure automation in the environment including IAC, CI/CD pipelines, and automated configuration management.  
  
  

• 5-7 years Infrastructure or Solution Architecture Experience designing and implementing cloud based solution architectures for PaaS, IaaS or SaaS. 
• Hands on experience with Azure(mandatory), AWS (optional).
• Experience designing and implementing the following foundational elements in a cloud architecture.
• Network configuration, including but not limited to: Virtual Private Networks (VPN), forwarding rules, DNS, CDN, NAT). 
• Identity and Access (IAM) configuration, including but not limited to: user and group administration, least privilege access design, organization, project and folder design. 
• Security configuration, including but not limited to: network security, endpoint security, and data security 
• Monitoring, Alerting, and Logging configuration including event threat detection, compliance monitoring, and data archival 
• Billing configuration including labeling, cost monitoring and allocation. 
• Experience designing and implementing automation solutions like Infrastructure as Code (IAC) solutions to build up and tear down infrastructure using Terraform, etc.
• Excellent verbal and written communications skills as well as the ability to work effectively across internal and external organizations.   Preferred Requirements 
• Experience design and implementing solutions in a hybrid cloud environment including but not limited to implementation of a service mesh solution, e.g., Istio. 
• Experience designing and implementing solutions in a multi-cloud environment. 
• Experience implementing architectures to support containered applications including but not limited to: AKS, Kubernetes, Docker, Containers.
• Experience integrating  CI/CD development pipelines (e.g., Jenkins) with Cloud Infrastructure elements.  
  
  

• Committed to quality 
• Operate autonomously and are result driven 
• Take ownership and accountability 
• Flexible in taking up different roles and tackling multiple technologies 
• Work collaboratively on projects and help achieving company goals 
• Strong analytic, organization, presentation, customer service and facilitation skills 
• Ability to prioritize and execute on multiple concurrent initiatives with related or independent goals 
• Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers 
• Demonstrated ability to think strategically about business, product, and technical challenges .
  
  

We are looking for a Cloud Platform Engineer to join the Public Cloud team within the central IT Cloud and Development Platforms department of SIX. Alongside the Public Cloud team, you will work as a go-to person for public cloud-related laaS/PaaS demands, enabling internal customers to identify cloud use cases and supporting internal Azure and Google Cloud platforms that power international financial markets 24/7. 

Are you eager to work in an environment where passion, trust, and collaboration are paramount? Do you find excitement in accelerating our transition towards cloud technology and infrastructure as code? We are seeking a Cloud Platform Engineer with experience in cloud transformations, who can help to identify and implement use cases benefitting from cloud technologies while ensuring secure, compliant and cost-effective operations. 

• Be part of an international team that securely designs, develops, improves and operates the public cloud platforms, including the customer landing zones and its foundational services.
• Demonstrate strong customer focus and communication skills while leading our customers along the cloud journey; from mindset change, evangelizing them and identifying value-add cloud use cases to implementation and operation.
• Become a go-to person for laaS/PaaS public cloud demands with a focus on Cloud Security, consulting DevOps teams and acting as an ambassador throughout the organization to promote the transition towards cloud-native solutions.
• Maintain and expand the library of IaC blueprints for cloud services such as containers, databases, and more.

• Minimum of 3-4 years of hands-on experience at enterprise-level with public cloud services, focusing on cloud core services (resource management and policies, networking, security, storage and IAM) and PaaS services (like Containerized managed services) on Microsoft Azure. Bringing knowledge of Google Cloud and AWS is a plus.
• Knowledge and experience with Infrastructure- as-Code (Blueprints creation with Terraform), CI/CD tools and pipelines (Azure DevOps and Gitlab), and experience in programming and automation (e.g., cloud functions, Ansible, scripting in PowerShell or Python).
• Background and hands-on experience in Cloud Security with Defender for Cloud and Sentinel (Security logging and monitoring, detection and response, vulnerability, malware and patch management, hardening).
• Experience with public cloud adoption at enterprise level and/or in the financial industry is a plus.
• Excellent interpersonal, collaboration, and communication skills with a strong customer focus. Excellent written and verbal skills in English, German or Spanish is an advantage.

What we offer:

• Hybrid model up to 40% working from home 
• 37,5 hours/week with flexible schedule and 29+2 holidays 
• Additional Medical Insurance for employee and family and Daily meal allowance 
• Pension fund 
• Access to technical and language learning platforms 
• Free parking spot and charger spots (only Rozas) 

🚀 Ready to build and scale cloud infrastructure powering autonomous systems in real-world industrial environments?

We’re hiring a Senior DevOps Engineer to design, operate, and evolve a cloud-native platform supporting fleets of connected devices deployed in complex, mission-critical environments.

This is a hands-on role combining Kubernetes, distributed systems, cloud infrastructure, and real operational impact.

• 💼 About the company: International deep-tech scale-up developing advanced autonomous solutions for large industrial and infrastructure environments.
• 📍 Location: Barcelona (Hybrid – 3 days remote)
• 💭 Fluent English required!
• 💰 Salary: 65k–85k + variable

🛠️ Your duties and responsibilities will include

• Designing, implementing, and operating cloud infrastructure to configure, deploy, and monitor fleets of autonomous devices.
• Evolving and maintaining CI/CD pipelines to ensure fast, reliable, and safe software delivery.
• Managing and improving Kubernetes-based environments across AWS and Azure.
• Building and maintaining data collection and storage infrastructure with a view toward future data science and machine learning use cases.
• Developing and maintaining Infrastructure as Code using Terraform and CloudFormation.
• Enhancing the observability platform, improving how metrics, logs, and system health are collected and analyzed.
• Collaborating closely with software engineers, robotics teams, and other stakeholders across the company.
• Promoting DevOps best practices and contributing positively to team culture and technical standards.

🎯 What do we expect from you?

• A technical or engineering degree, ideally in Computer Science or a related field.
• Hands-on experience with Kubernetes, Docker, Helm, and the broader Kubernetes ecosystem.
• Working experience with AWS (EC2, S3, EKS) and/or Azure (VMs, Blob Storage, AKS).
• Experience using Infrastructure as Code tools such as Terraform and/or CloudFormation.
• Familiarity with CI/CD tools (Jenkins, GitLab CI) and GitOps approaches (e.g. ArgoCD).
• Exposure to monitoring and logging tools like Prometheus, Grafana, and CloudWatch.
• Ability to write automation scripts using Python and Bash.
• Strong troubleshooting skills in cloud-based and distributed systems.
• Comfortable working independently in complex technical environments.

💡Nice to Have

• GitOps (ArgoCD / Flux)
• Microservices at scale
• Secure networking (e.g., WireGuard)
• Experience working with software + physical systems environments

🪴Benefits

• Competitive compensation package including bonus and equity 💰
• Health insurance currently covered via salary supplement 🤧
• Lunch vouchers🍝
• Team events (“Fabulous Fridays”)
• Two additional recharge days off per year⌛

• Annotate infrastructure-as-code and automation datasets.
• Evaluate CI/CD pipeline configurations.
• Review deployment scripts and cloud infrastructure setups.
• Label monitoring, logging, and system reliability scenarios.
• Validate container orchestration and automation workflows.
• Provide quality feedback on DevOps engineering outputs.
  
  

• Bachelor’s Degree in computer science, Software Engineering or related field.
• Minimum 3 years’ experience in DevOps Engineering.
• Proficiency with CI/CD tools such as Jenkins, GitLab CI/CD, CircleCI or similar Platforms and automation pipelines.
• Strong knowledge of containerization and orchestration with Docker, Kubernetes, Jenkins, GitHub Actions.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of infrastructure monitoring and security practices.
• Familiarity with Linux system administration expertise and shell scripting.
• Knowledge of monitoring and observability tools such as: Datadog, ELK Stack, Grafana, and Promethus)
• Candidate must have certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), Microsoft Azure DevOps Engineer Expert, and Google Professional DevOps Engineer

• Title: Geologist (Remote)
• Engagement: Hourly contract (independent contractor)
• Rate: USD 55-104/hour

Job Summary

We are seeking a Geoscientist – AI Trainer to contribute subject matter expertise at the intersection of Earth sciences and artificial intelligence. In this remote role, you will apply your geological knowledge to train and refine AI models used in environmental analysis, resource exploration, and geospatial applications. Your expertise will help ensure scientific accuracy, data integrity, and real-world relevance in AI-driven geoscience solutions.

Key Responsibilities

• Collaborate with data scientists and engineers to develop, review, and validate AI training datasets derived from geological surveys, field studies, and research data
• Analyze and interpret geological, geochemical, and geophysical data to support AI model training and validation
• Classify, annotate, and evaluate Earth science datasets to improve algorithm performance
• Apply expertise in mineralogy, stratigraphy, seismology, and related disciplines to guide AI understanding of complex geoscientific concepts
• Assess natural hazard risks (e.g., earthquakes, volcanic activity, landslides) and support AI training for early detection and analysis
• Prepare clear, comprehensive documentation explaining scientific methodologies and findings
• Support the development and continuous improvement of AI-driven solutions for environmental management, land use, and resource exploration

Required Skills and Qualifications

• Bachelor’s degree or higher in Geosciences, Geology, Geophysics, Earth Sciences, or a related field
• Proven experience in geological data collection, fieldwork, and analytical interpretation
• Proficiency in geoscience software, geophysical tools, and data visualization platforms
• Strong analytical skills with exceptional attention to detail
• Excellent written and verbal communication skills
• Experience collaborating in multidisciplinary or remote team environments
• Foundational understanding of AI concepts or willingness to work within AI training workflows

Preferred Qualifications

• Experience in roles such as project geologist, environmental geologist, mineralogist, stratigrapher, or seismologist
• Familiarity with AI data annotation, labeling, or technical model training processes
• Experience mentoring or communicating complex scientific concepts to technical and non-technical audiences

APPLY NOW!

• Dashboard reliability - infrastructure, monitoring, alerting, incident response, CI/CD pipelines
• Developer experience - tooling, development environment, design system, agentic coding infrastructure
• Platform capabilities - authorization, audit logging, configuration management, and other features that provide horizontal value across the dashboard
  
  

• Platform engineering experience - you've built internal tools, developer platforms, or infrastructure that other engineers depend on
• Full-stack technical depth - strong hands-on experience with React & TypeScript + Node.js backend experience
• Infrastructure and operations experience - you have experience building & maintaining CI/CD pipelines, monitoring, and alerting; you've been on-call and handled production incidents
• Leadership experience - you've led projects, mentored engineers, or managed a small team; formal management experience preferred but not required
• Systems thinking - you think in tradeoffs and understand how decisions affect multiple teams
• Communication skills - you'll work across 7 teams and need to influence without authority
• Comfort with ambiguity - you can take a vague problem and structure an approach
  
  

• Experience with design systems or component libraries
• Experience with AI-assisted development tools or agentic coding
• Experience in e-commerce or B2B SaaS
• Experience working remotely in a distributed team
  
  

• 🏝️ Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year
• 💰 A competitive compensation package, including stock options
• 🌎 Fully remote team - choose where you live
• 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
• 💻 Apple laptops provided for new employees
• 🧑‍🎓 Training and development budget for every employee, refreshed each year
• 👪 Parental leave for qualified employees
• 🧠 Work with smart people who will help you grow and make a meaningful impact
  
  

Are you excited to build new technologies that will be instrumental in bringing Expedia Group's evolving brand to life by delivering Native App experiences for millions of users? Come build the future of travel with us! Software Engineers at Expedia Group develop solutions and products that touch millions of people every day around the globe. Our engineers seek some of the most sophisticated problems in the world of travel across various brands - Expedia, Orbitz, Car Rentals, Vrbo, Hotels.com, Travelocity, eBookers and others. We are looking for strong technical talent as well as a keen desire to deeply understand our products and services to push our technology forward with respect to functionality, performance, reliability, and scalability.

Our team in Search and Recs Experience is looking for curious, empathetic, and creative problem solvers with a growth mindset. We are a team of travel-loving makers, building a cutting-edge platform using latest technologies. You will be responsible for building a best-in-class shopping experience for our travellers and partners

.
As a member of the team, you'll estimate engineering efforts, design your changes, implement and test your changes, push to live, and triage production issues. You need to be collaborative, and curious as we build new experiences and improve existing frameworks powering the world's largest travel mobile apps at a scale only a few companies can matc

h.
In this role, you wi

• ll:Design, develop, and maintain native iOS applications, focusing on clean architecture, modular code, and robust UIKit/SwiftUI-based user interfaces that deliver high-quality traveler experienc
• es.Own and evolve features end-to-end across multiple domains, including system design (low-level design), API consumption design, and data modeling for mobile clients in collaboration with backend and product tea
• ms.Implement, optimize, and debug iOS application components (networking, persistence, concurrency, and UI) to ensure reliability, performance, accessibility, and responsiveness at sca
• le.Collaborate with cross-functional partners to translate product requirements into technical solutions, contributing to technical design reviews, code reviews, and shared mobile frameworks reusable across different brands and use cas
• es.Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products within mobile experienc
• es.Improve engineering operations by contributing to testing strategies, continuous integration practices, instrumentation, monitoring, and incident resolution for iOS apps across multiple product are

as.Minimum Qualificatio

• ns:Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experien
• ce.Experience developing and shipping production iOS applications using Swift and Swift UI, including ownership of features or services within at least one significant a
• pp.Hands-on experience designing and implementing mobile client integrations with RESTful or GraphQL APIs, including basic data modeling, error handling, and offline-resilient behavio
• rs.Demonstrated ability to participate in system design for mobile features, including low-level design, API contracts from a client perspective, and data structures aligned with product and UX requiremen
• ts.Proficiency with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, with the ability to safely integrate and operate AI/ML‑enabled features in mobile applications under guidan

ce.
Preferred Qualificati

• ons:Experience building and maintaining complex iOS apps at scale, including modular architectures, shared frameworks, and patterns such as MVVM, VIPER, or similar to support multiple domains and bra
• nds.Proven ability to design robust low-level implementations for mobile features, including detailed API design feedback, client-side data modeling, and performance-aware use of persistence, caching, and concurre
• ncy.Track record of improving operational excellence for mobile applications through advanced testing (unit, snapshot, UI), observability (logging, metrics, tracing), and proactive performance monitoring in product
• ion.Safely integrates and operates AI/ML enabled solutions that improve outcomes, including experimentation with personalization, recommendations, or intelligent assistance in mobile experiences, and effective use of AI-driven tools in the iOS development workflow.‑enabled solutions that improve outcomes, including experimentation with personalization, recommendations, or intelli
• gentFamiliarity with system design concepts that span multiple services and domains, contributing to end-to-end technical decisions for mobile features that interact with backend services, experimentation platforms, or data pipeli

• Progettazione di soluzioni applicative in cloud per la gestione dei sistemi progettati dall'azienda
  
• Integrazione con servizi cloud per monitoraggio, logging e aggiornamenti da remoto
  
• Realizzazione di microservizi, API RESTful e interfacce con database relazionali e NoSQL
  
• Collaborazione con il team Hardware per l’integrazione software/hardware (touchscreen, interfacce di pagamento, RFID, NFC) * Scrittura di test automatici, CI/CD pipeline e gestione versioning su Git
  
• Documentazione tecnica e partecipazione alle fasi di validazione e rilascio prodotto
  
  
  
  

• Diploma o Laurea in ambito informatico o affini
  
• Esperienza in sviluppo backend con Python, Go o Node.js;
  
• Buona conoscenza di sistemi operativi Linux e Windows, scripting Bash e gestione dei processi;
  
• Esperienza con almeno una piattaforma cloud (Azure, AWS, GCP)
  
• Familiarità con database PostgreSQL, MongoDB o Redis
  
• Conoscenza dei protocolli MQTT, WebSocket, HTTP, TCP/IP