Senior ML and AI DevOps Engineer (MLOps)

Who we are

flatexDEGIRO SE operates the leading and fastest growing online brokerage platform in Europe. Based on modern in-house state-of-the-art technology customers of the flatex and DEGIRO brands are offered a wide range of independent products with execution on top TIER 1 exchanges. The technological edge high efficiency and strong economies of scale enable us to continuously improve our service offering for clients and to set leading standards in terms of product price and platform quality.

With more than 35 million customer accounts and more than 75 million securities transactions processed in 2025 flatexDEGIRO is the largest retail online broker in times of bank consolidation growing digitalization and the immanent need of millions of Europeans to take their financial future into their own hands flatexDEGIRO is ideally positioned for further profitable growth.

Want to know what its like to work for flatexDEGIRO

Check out our Instagram @lifeatflatexdegiro and meet the great people that makes us who we are! Do you already see yourself as part of this team Apply!

As a Senior ML and AI DevOps Engineer / MLOps Engineer you will join a newly forming AI Hub with the mission to build the deployment monitoring and operational foundation behind scalable AI tools and platforms. Your work will directly shape how AI services are deployed governed observed and maintained across on-prem and cloud environments.

This is not a role focused on keeping experimental models alive or supporting isolated prototypes. We are moving AI into production which means our services need to be treated like core enterprise platforms. They must be reliable observable secure governed and ready for large-scale adoption.

We are looking for a builder who understands that production AI is not only about models. It is about deployment discipline automation rollback strategies observability reliability and operational readiness. Someone who thinks beyond the pipeline challenges existing deployment patterns and brings practical ideas that help us move faster while staying secure and compliant. You should actively use AI in your own work to improve automation troubleshooting documentation and delivery speed while helping us shape the operational standards for AI across the company.

This is what youll do:

As a Senior ML and AI DevOps Engineer / MLOps Engineer you will focus on deployment operationalization CI/CD observability reliability governance and production operations for AI workloads. Your work will ensure that AI services can move safely from prototype to controlled production deployment.

You will:

• Build maintain and improve CI/CD pipelines for AI services and ML workloads.
• Implement secure deployment release and rollback strategies using Kubernetes Helm Docker and related tooling.
• Establish observability and monitoring for AI services including accuracy performance reliability telemetry and cost.
• Support the full AI lifecycle from prototype to production handover in a controlled and governed way.
• Define and maintain runbooks playbooks operational standards and deployment documentation for AI services.
• Integrate AI workloads with existing monitoring CI/CD infrastructure security and IT control processes.
• Work closely with security IT operations architecture and engineering teams to align AI workloads with governance frameworks.
• Help standardize how AI services are deployed tested monitored evaluated and maintained across environments.
• Identify opportunities to reduce manual effort improve automation and increase operational stability.
• Support on-prem hybrid and cloud-connected AI delivery models where appropriate.
• Actively use AI in your own work to improve automation troubleshooting testing documentation and engineering efficiency.

Youll bring us these skills

We are looking for an experienced DevOps Platform or MLOps Engineer who can bring production discipline to AI delivery. You should be pragmatic ownership-driven and comfortable building operational standards while the environment is still maturing.

You bring:

• 6 years of experience in DevOps platform engineering infrastructure engineering MLOps or a similar technical role.
• Strong hands-on experience with Kubernetes Helm Docker and containerized deployments.
• Solid experience building and managing CI/CD pipelines for production services.
• Experience with secure deployment strategies release management rollback mechanisms and operational automation.
• Good understanding of observability monitoring telemetry performance tracking and production reliability.
• Familiarity with machine learning lifecycle principles including model deployment evaluation monitoring and controlled production handover.
• Experience operating in regulated security-conscious or enterprise IT environments.
• Strong understanding of governance access control compliance and internal IT control requirements.
• Ability to work closely with security infrastructure architecture and engineering teams.
• Experience deploying AI ML or data workloads at scale would be considered an advantage.
• Knowledge of hybrid infrastructure on-prem environments and secure network design would be a plus.
• Familiarity with Microsoft Copilot Azure OpenAI Service or similar governed AI environments would be beneficial.

**Most importantly you bring a builders mindset. You do not only maintain pipelines or follow predefined processes. You help create the standards improve the delivery model and make sure AI services can scale safely reliably and with real business impact. You balance speed with engineering discipline and understand what it takes to turn AI from experimentation into a trusted enterprise capability.

Interested This is what we offer you

• Promise of a good work-life balance
• 30 days paid leave
• An enthusiastic and fun team to work with
• Personal and professional development with access to relevant courses
• Transport allowance or related benefits like a leased electric bike
• Pension plan
• A challenging job in an international and fast-growing company
• A competitive salary
• A lot of freedom executing your role and a chance to shape your own career
• The opportunity to participate in a new enthusiastic team of likeminded professionals

To make your life easier

You get the freedom to work flexible. Meaning you dont have to work in our office every day but we like it if you do of course! Its fun to come in and mingle with your colleagues. There is also fruit good coffee drinks & snacks and great sandwiches for lunch every day. Our beautiful and modern office in located in the iconic Rembrandt tower that is conveniently next to Amstel Station. To make comfortable we offer a 35 internet allowance provide a company laptop and many options to make it comfortable such as a chair screen and headphones. And last but not least: the gym membership options we provide is an easy way to get into shape!

Want to invite your friends to work for us as well A generous referral bonus will be yours if they get hired so spread the word once you start!

All qualified applicants will receive consideration for employment without regard to ethnicity color religion age sex national origin disability sexual orientation gender identity/expression or any other legally protected status. flatexDEGIRO is an Equal Opportunity Employer.

flatexDEGIRO Dutch Branch
Petar Patev
Corporate Recruiter