---
title: 'Tech Lead AI DevOps / Infrastructure (f/m/d) at StackFuel'
canonical: 'https://feeny.ai/job/tech-lead-ai-devops-infrastructure-f-m-d-stackfuel-berlin-nrw0zvm2b2nm'
type: 'job'
last_seen: '2026-10-20'
---

# Tech Lead AI DevOps / Infrastructure (f/m/d) at StackFuel

- **Company:** StackFuel
- **Location:** Berlin, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/stackfuel/9d118e15-7e1b-48cf-a8f9-47f4e4d270f2

## 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
- 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.

## About StackFuel

## Company Overview
- **One-liner**: StackFuel provides online, hands-on training programs in data and AI skills for individuals and businesses, helping people launch data careers and companies upskill their workforce.
- **Entity Type**: Private (acquired by Multiverse in January 2026)
- **Headquarters**: Berlin, Germany
- **Founded**: 2016
- **Founders**: Leo Marose (CEO & Co-Founder), Stefan Berntheisel (CTO & Co-Founder)

## Core Business
- Primary industry/industries: Professional education and corporate training, specifically focused on data science, artificial intelligence, and digital skills.
- Target customers: Both B2C (job seekers and career changers, funded via education vouchers from the Federal Employment Agency) and B2B (enterprise clients such as Telefónica, Mercedes, BMW, and Deutsche Bahn).
- Mission or purpose statement: “Empower companies through their employees to master the data and AI revolution. And enable job seekers to acquire the skills they need to enter data and AI professions with confidence.”

## Products & Services
- **Data & AI Specialist Training**: A comprehensive online program covering data analysis, machine learning, Python, and AI fundamentals. 80% practical content, project-based learning, and mentoring. Designed for individuals seeking entry-level data roles.
- **AI Specialist Training**: Focus on practical use of AI tools, automation, and prompting. Gen AI included.
- **Strategic AI Management**: Targeted at managers and professionals looking to integrate AI into business strategy.
- **Product Manager – Focus AI & Tech**: Training for product managers to build AI-powered products.
- **Career Service**: Post-training support including CV optimization, interview coaching, salary negotiation guidance, and networking events.
- **B2B Corporate Training**: Custom programs for companies undergoing digital transformation, often subsidized through Germany’s Qualification Opportunities Act (QCG).

## Market Standing
- **Valuation/Market Cap**: Not publicly available (acquired by Multiverse; acquisition terms undisclosed).
- **Key Metric**: Total funding not disclosed; key metric is growth – the company reported “growth of over 70 percent.” It has trained over 8,000 graduates with a 93% completion rate.
- **Notable Investors/Partners**: Multiverse (acquirer), Haufe Akademie (sales & marketing partner), Deutsche Bahn, Telefónica, Mercedes, BMW. Funded by German Federal Ministry of Education and Research (BMBF) for projects like “Toolbox Datenkompetenz” and “Coding Labs.”
- **Growth Signals**: 70%+ growth; expansion of B2B customer base; integration of AI training into portfolio; acquisition by Multiverse (a global leader in apprenticeship and upskilling) positions StackFuel to scale further.

## Competitive Advantages
- **AZAV-certified** (accredited by the Federal Employment Agency), enabling 100% government funding for individual learners.
- **Deep enterprise partnerships** with iconic German brands – these relationships provide credibility and a built-in customer pipeline.
- **High completion rate (93%)** and practical, project-based curriculum that aligns closely with job market demands.
- **Proprietary “dataX Academy”** model developed with EXIST funding, aimed at creating a full-fledged data academy for companies.

## Strategic Focus
- **Post-acquisition scale**: Leveraging Multiverse’s global platform to expand AI upskilling across Germany and potentially into other European markets.
- **Deepening B2B offerings**: Growing corporate training contracts, especially in transformation and restructuring contexts (QCG-funded).
- **Integrating AI across all programs**: StackFuel has added dedicated AI specialist and strategic AI management courses, reflecting market demand.
- **Expanding the “Career Service”** to improve job placement outcomes for individual learners.

## Why Work Here
- **Hybrid work model**: 3 days in the Berlin office (Oranienburger Str. 66), 2 days remote – balance of collaboration and flexibility.
- **Workation possibility**: Employees can work abroad for a few weeks.
- **Career & development**: Free access to all StackFuel data & AI training courses for unlimited time.
- **Company pension plan**: Employer subsidy of 15%.
- **Awards**: Recognized as a top employer by Kununu and Business Punk since 2020.
- **Engineering culture**: Small, cross-functional teams; focus on product and impact; CTO is a co-founder.
- **Team culture**: Emphasis on values, expert calls during interview process, and a supportive onboarding experience with a welcome package.

## Sources
1. [StackFuel – About Us](https://stackfuel.com/en/about-us/)
2. [StackFuel – Career Page](https://stackfuel.com/en/career/)
3. [StackFuel – Homepage](https://stackfuel.com/en/)
4. [StackFuel – Jobs on Ashby](https://jobs.ashbyhq.com/stackfuel)
5. [CB Insights – StackFuel Profile](https://www.cbinsights.com/company/stackfuel)

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