Senior Software Engineer - MLOps Framework (Python)

Senior Software Engineer - MLOps Framework

Location: Munich or Remote - B2B Remote OR Full time on-site

We are seeking an exceptional Senior Software Engineer to help develop and enhance the core of our open-source MLOps framework and managed offering. We are a company dedicated to transforming how ML engineers build production-ready pipelines, and we need a versatile Python expert who can build robust, scalable APIs and services while contributing to our framework architecture.

This is a unique role focusing on Python development while maintaining awareness of the cloud infrastructure where our solutions run. You'll be instrumental in shaping our core platform, designing clean APIs, and ensuring our framework meets the needs of data scientists and ML engineers.

Key Responsibilities:

• Core Framework Development: Design and implement internal components in Python, making key architectural decisions.
• 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 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.

Tech You'll Work With

• 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.

What We're Looking For

• 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).

Interested? Apply directly through LinkedIn, or send your CV to george@eu-recruit.com

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