Senior Software Engineer (f/m/d)

Core Framework Development: Design and implement ZenML internals in Python, making key architectural decisions

ZenML Pro Feature Development: Build and enhance features for our commercial SaaS offering running on AWS

API Development: Build robust, well-documented APIs to power our services

Cloud Awareness: Develop with knowledge of how code runs in containerized environments (Docker, Kubernetes)

Community Support: Help guide open-source contributors and address technical questions

Customer Support: Help paying ZenML Pro customers to onboard onto the core product

Product Input: Collaborate with the product team to shape the technical roadmap

Code Quality Guardian: Maintain high standards through testing, code reviews, and documentation

Primary Stack: Python, FastAPI, SQLAlchemy, Pydantic

Infrastructure Awareness: Docker, Kubernetes concepts, cloud services (primarily AWS)

Testing & Quality: pytest, CI/CD pipelines, linting tools

ML Ecosystem: Integration with ML frameworks (Huggingface, TensorFlow, PyTorch, etc.) and MLOps tools

Python Mastery: 6+ years of experience with Python, including development of production-grade applications

API Development: Strong experience building and designing RESTful APIs, preferably with FastAPI

ML Pipeline Knowledge: Understanding of ML workflow challenges and the MLOps landscape

Software Architecture: Ability to design clean, maintainable code structures and interfaces

Infrastructure Familiarity: A solid understanding of containerization and cloud deployment concepts

Testing Mindset: Experience with test-driven development and automated testing

Communication Skills: Ability to explain technical concepts clearly to team members and users

Bonus Skills: Experience with deploying MLOps infrastructure (Terraform, Helm) on multi-cloud environments (GCP, Azure)

Technical Depth & Ownership: Lead Python development of our MLOps framework core and ZenML Pro features

API Design: Architect and implement FastAPI-based services that power our platform

Developer Experience: Create intuitive interfaces that make ML production-ready from day one

Open Source Impact: Build your reputation in the open-source community while contributing to a widely used ML tool

🌍 An inspiring, international team We’re a tight-knit group of motivated people from 7 different nationalities, speaking 20+ languages - and we are just as diverse in our interests. Whether you're into gaming, music, writing, meditation, yoga, sailing, mountain hikes, or motorcycles, you’ll find your people here.

🎉 Genuine connection & lots of fun We take our work seriously but ourselves not too much. Laughter, memes, and spontaneous coffee chats are part of the daily deal. Check out our team website if you don’t believe us.

🌴 Annual company offsite Once a year, we bring the whole team together for a few days of deep connection, collaboration, and good vibes - somewhere beautiful.

🏡 Office in the heart of Munich Our home base is in Schellingstraße, right in the middle of everything. Stop by for great coffee on our sunny balcony or some after-work drinks on our roof-top terrace.

🗓️ Flexible hours & trust-based work We have core hours (9am to 6pm), but life happens - and we trust you to manage your time in a way that works for you.

🧑🏼‍💻 Remote-friendly culture Around half of our team is remote, working from places like Spain, Morocco, the Netherlands, and the US. Whether you're in Munich or elsewhere, you're equally part of the team.

🏦 Competitive compensation Wondering what the salary for this role is Just ask us! On the first call, it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply - what's more important to us is finding the right fit!

ZenML isn't just another MLOps tool - we're building the next generation platform that makes production ML accessible to every organization. Our open-source framework has a growing community of users who rely on our tool to create reproducible, production-ready ML pipelines.

Send us examples of your work (GitHub, portfolio, or previous projects) along with your resume to careers@zenml.io. We're particularly interested in hearing about your experience with cloud infrastructure, customer-facing technical roles, and any MLOps-related projects.

We'll review your application within 48 hours and get back to you with the next steps. If you’re curious about our process, you can find more information on our website.