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 3,5 million customer accounts and more than 75 million securities transactions processed in 2025, flatexDEGIRO is the largest retail online broker in Europe. 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 it’s 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 you’ll 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.

You’ll 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 builder’s 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 don’t have to work in our office every day, but we like it if you do of course! It’s 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 work@home 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