Tech Lead AI DevOps / Infrastructure (f/m/d)
Stackfuel · Berlin
What this role requires
7 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: AI, GitHub Actions, Grafana, Prometheus, German, English. Worth having, but their absence is not what gets a CV filtered out.
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Job description
Job Description
For years, StackFuel has been one of Germany’s leading providers of data and AI training. Since early 2026, we have been part of Multiverse, Europe’s only EdTech unicorn and the continent’s largest AI upskilling platform. Together, we are pursuing a clear goal: to make 100,000 employees in Germany AI-ready and close the country’s data and AI skills gap.
We’re at an exciting point right now: as a scale-up, we are migrating and consolidating our infrastructure from individual systems to a scalable cloud stack, while keeping everything running and without compromising on uptime or performance. To make this happen, we’re looking for a Tech Lead AI DevOps / Infrastructure (f/m/d) to take full ownership of our infrastructure: you’ll build it, scale it, and create the foundation our team can grow on. You’ll do this with a small DevOps team that you lead. In the long term, you and your team will ensure that our engineering teams can efficiently ship their products on secure, scalable infrastructure as part of an agentic SDLC.
Your Responsibilities
Work as DevOps Tech Lead, meaning you’re an active contributor (player & coach) with leadership responsibility for a small team, reporting directly to our Head of Engineering
Own the scaling, maintenance, and security of our entire cloud infrastructure, from the ongoing migration to stable day-to-day operations, laying the foundation for team and product growth
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Establish clean processes for monitoring, uptime, backups and recovery, access management, security updates, and cost control, in areas that have grown organically and are still largely unstructured today
Use AI deliberately in day-to-day DevOps work, from incident analysis to infrastructure code to runbooks, and consistently automate recurring operational tasks so a small team can achieve maximum impact
Ensure that internal and external development is reliably supported by DevOps
Prepare the team’s evolution toward platform engineering for our Berlin location
What You Bring
5+ years of experience in DevOps, SRE, or platform engineering, including initial lead responsibility (architecture, technical decisions, mentoring)
Hands-on experience with AI-assisted DevOps, i.e. using AI to automate and safeguard operations and infrastructure
Solid knowledge of infrastructure as code and container orchestration, e.g. with Terraform, Kubernetes, and Ansible
Experience operating an enterprise stack with many components (data warehouses, applications, databases, logging, security audits, permission systems) and a strong sense for security, backups, and recovery
Discipline in CI/CD, monitoring, and observability (e.g. GitHub Actions, Grafana, Prometheus, or similar)
Experience operating in fast-growing environments and bringing structure and scalability to them
Business-fluent German and English
This Role Probably Isn’t for You If…
This role is probably not the right fit if you’d rather lead than get hands-on yourself. With a small team, you’re both Tech Lead and engineer, staying deeply involved in the system, the design, and the code. It’s also not a good fit if you expect a tidy environment with established processes: a lot of what we have has grown organically, and creating structure exactly there is a core part of your job. And if you see AI tools as a nice productivity extra rather than something that fundamentally changes how an entire team works, you probably won’t be happy here.
What We Offer
Work culture
A solution-oriented, data-driven way of working, an open feedback culture, and strong team spirit. Two Trustees, elected by the entire StackFuel team, act as a neutral, confidential point of contact for your questions and concerns.
Ownership
Take on responsibility from day one, actively contribute your own ideas, shape processes sustainably, and have a real influence on how we work.
Hybrid working
We work in a hybrid model and are usually in our Berlin office 3 days a week.
Workation
Work from anywhere in the EU, the EEA, and Turkey for up to 10 days per year.
Room for exchange
Regular team exchanges, seasonal celebrations, and an always well-stocked kitchen make for a lively atmosphere.
Professional development
Take our online trainings to expand your skills and become an expert in data and AI.
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