Dev Ops Engineer - Fullstack/AI

• Salary: Gross monthly salary between EUR 4,931 and EUR 7,043 (scale 09).
• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

Or view all our benefits.

Our Tech4Dev Area is growing fast to meet the demand for next-generation AI solutions. As a bank, our customers expect us to stay ahead - and we’re committed to leading the way. That’s why we’re looking for engineers who combine technical excellence with adaptability, collaboration and a strong sense of ownership. These qualities are key to making our cultural shift real and impactful. We’re recruiting the next wave of GenAI changemakers.

We are looking for tenacious engineers - passionate about software engineering, craftsmanship and relentless in their pursuit of impact. You finish what you start, thrive in ambiguity, adapt when priorities shift and persist through technical complexity. Your work will directly influence how millions of customers experience AI-driven banking.

Are you an entrepreneurial thinker whose ideas deserve to be heard? In our Area, leadership actively drives innovation and removes roadblocks so you can focus on what matters. We’ve got your back.

• Work in a culture that values initiative, grit and impact.
• Freedom to experiment, learn and grow- with full leadership support.
• A healthy work-life balance because sustainable performance matters.
• We value curiosity, resilience and the ability to learn fast.

We’re not just looking for GenAI enthusiasts - we’re looking for exceptional full stack engineers. People who aim for excellence, thrive on solving tough challenges and know how to build from first principles. If your coding journey started before the rise of GenAI, you’ll feel right at home. We value engineers who understand the fundamentals, who can build & beyond.

• You are part of an empowered self-performing team.  Your voice is heard and you contribute directly to the product, or service, your squad is responsible for.
• Design and build responsible and cost effective GenAI solutions for up to 9,5 million Rabobank customers.
• Convert a use-case specific code base to re-usable building blocks used by 100+ tech teams.
• Pair-program with members of your squad and across other Squads within Rabobank to solve critical or complex problems.

• 36 or 40 hours per week. 
• Mostly greenfield, very little legacy work. 
• Approx. 43,822 Rabobank colleagues around the world. 

• Contribute to the design and implementation of GenAI solutions, leveraging Azure services such as Azure OpenAI Service, Azure Databricks, Azure Kubernetes Service (AKS), Azure Functions, and others.
• Develop and maintain CI/CD pipelines using Azure DevOps, Terraform, and Bicep to automate deployment and cloud infrastructure provisioning.
• Build and maintain Python-based microservices and automation tools to streamline GenAI workflows and manage infrastructure.
• Integrate and manage GenAI products to support complex multi-step workflows and decision-making processes.
• Ensure performance, reliability, and security of GenAI workloads in cloud-native environments.

• Work closely with Data Scientists, Solution Architects, Product Owners, and Engineers to translate business requirements into scalable technical solutions.
• Participate in the development of robust and scalable AI workflows including prompt chaining, memory management, and agent orchestration.
• Communicate technical concepts clearly within cross-functional teams.
• Support integration of GenAI capabilities into existing platforms and services.

• Continuously improve engineering practices and contribute to team knowledge sharing.
• Stay up to date with emerging GenAI technologies and cloud-native patterns.
• Participate in code reviews, design discussions, and sprint planning.

The Tech4Dev team designs and builds next-generation AI solutions for Rabobank customers worldwide. Collaboration is our approach; as one focused, data-minded team within Rabobank, we drive innovation and deliver impact. 

At Rabobank, your development and that of society go hand in hand. That’s why we invest in you and work together for a better world. In short: at Rabobank, you work on yourself and the world around you. This is reflected in your personal development budget, our hybrid work environment, and a healthy work-life balance. You’ll work on banking for our private and business customers, but also on societal issues such as food and energy transitions.

‘Work in a culture that values initiative, grit and impact. Freedom to experiment, learn and grow—with full leadership support. A healthy work-life balance because sustainable performance matters.’ Karina Karapetyan - Solution Architect 

At Rabobank, we believe we become stronger by complementing each other. By embracing our differences, we bring out the best in each other. We seek diversity in knowledge, skills, and experience, as well as in gender, background, and culture. Every department strives for variety and the space to be yourself- whoever you are. That’s what diversity and inclusion at Rabobank is all about.

Technical Ownership

• Build robust Python-based microservices and automation scripts to support GenAI workflows and infrastructure provisioning.
• Ensure security, compliance, and performance optimization across GenAI workloads.

Stakeholder Management:

• Collaborate with cross-functional teams including Data Science, Product, and Business to translate requirements into technical solutions.
• Communicate technical concepts clearly to non-technical stakeholders and influence decision-making.
• Act as a trusted advisor for GenAI strategy and infrastructure scalability.

Soft Skills & Leadership Qualities

• You are “relentless” in getting things done, you don’t give up, you adapt and find another way to complete your assignment.
• Entrepreneurial - Salesmanship mindset – you see valuable opportunities to pitch your ideas to Leadership, and you have the persistence to adapt your pitch even if you are told “no”.
• Excellent communication skills – able to simplify complex ideas and build trust across teams.
• Mentorship mindset – passionate about helping the Junior colleagues  grow and succeed.

Required Qualifications

• 2–4 years in technical roles such as DevOps, Software Engineering, ML Engineering, or Data Science.
• Practical experience with cloud platforms - Azure (preferred), AWS, or GCP.
• Proficiency in Python for development, automation and API integration.
• Hands-on experience developing and maintaining CI/CD pipelines for GenAI applications using tools like Azure DevOps, Terraform, Kong and Bicep to automate deployment and cloud infrastructure provisioning.
• Experience with containerization (Docker) and exposure to orchestration tools (Kubernetes).
• Hands-on experience deploying AI workloads (preferably Generative AI or agentic systems) in development or staging environments.
• Basic familiarity with Generative AI, including LLM application development frameworks (e.g., LangChain, LlamaIndex), agentic frameworks (e.g., LangGraph, CrewAI, AutoGen), and AI workflow orchestration concepts.
• Understanding of vector databases and Retrieval-Augmented Generation (RAG) patterns at a conceptual level.
• Awareness of security and monitoring practices for cloud and AI systems.
• Knowledge of API development and integration; exposure to API gateways is a plus.
• Strong communication skills and ability to collaborate effectively within Agile teams (SCRUM or Kanban).

To ensure that we assess all candidates equally for suitability for this position, we do not require a mandatory cover letter. Instead, we ask all candidates the same three questions to see how your profile matches the role. Please pay sufficient attention to answering these questions and explaining your answers. together with your CV, these responses form the basis for our evaluation in this round. Submitting both a CV and answers to the three questions is the minimum requirement to be considered in the selection process. A cover letter is not mandatory but may be submitted optionally.

You may draw on your work experience, volunteer work, education, private life, and so on. Use a maximum of 200 words per question and provide no more than two examples. Below are the questions:

• Can you share an example of an AI or software engineering project you contributed to? Include the tech stack and how you ensured performance and reliability.
• Describe a situation where you faced changing priorities or technical complexity. How did you adapt and still deliver impact?
• How do you make sure your technical ideas are heard in a multidisciplinary team? Give an example of collaborating with non-technical stakeholders to reach a solution.

Please submit these answers in the application section titled 'Add your cover letter (optional)' on the website portal.

• Any questions about working at Rabobank and the process? Ashley Lumbantobing, IT Recruiter, ashley.lumbantobing@rabobank.nl
• We will hold the interviews through a video call. If you are selected for an interview, Bo, our virtual assistant, will reach out to you via SMS and email to schedule the interview.
• You can find answers to the most frequently asked questions on rabobank.jobs/en/faq
• A screening is part of the process.
• We respect your privacy.

To be considered for this position, you must be located in the Netherlands and have the legal right to work in the Netherlands. We are unable to consider candidates requiring relocation from another country.

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