DevOps Engineer (Build System)

Roofline; Köln; Vor Ort; EUR 75.000 - 110.000; Vollzeit

Zusammenfassung

Roofline is hiring engineers to build and evolve a Bazel-based deployment platform for edge AI. You will own the build system, package and distribute Python wheels, and improve the developer experience with streamlined tooling and thorough documentation.

Collaborate with compiler, runtime, and test teams to ensure fast, reproducible builds across heterogeneous hardware targets, while scaling CI/CD pipelines and managing dependencies.

Qualifikationen

• Bachelor's degree in CS or related field.
• Strong experience with Bazel-based build systems.
• Proven Python packaging and wheels distribution experience.

Aufgaben

• Own and evolve Bazel-based build system powering our ML compiler platform.
• Design and maintain Python packaging and distribution pipelines (wheels).
• Champion developer experience with intuitive tooling and docs.
• Develop and optimize CI/CD infrastructure for rapid iteration.
• Manage third-party dependencies and hermetic build environments.
• Collaborate with compiler, runtime, and test teams to integrate components.
• Improve build performance via caching, parallelization and analysis.
• Define packaging standards, releases and versioning for edge targets.

Kenntnisse

Python

C/C++

Bazel

Packaging

CI/CD

GitHub Actions

Build systems

Software engineering

Ownership

Documentation

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

GitLab CI

Jenkins

Buildkite

Docker

MLIR

OCI images

Jobbeschreibung

Who We Are

Roofline is building a Deployment Platform to run any model on disruptive hardware at the edge. We are looking for talented and ambitious engineers that are passionate about technology to design and implement new components in our software stack. You will work alongside other world class engineers to enable the full spectrum of AI applications across heterogeneous hardware platforms.

Who We Are

Roofline is building a Deployment Platform to run any model on disruptive hardware at the edge. We are looking for talented and ambitious engineers that are passionate about technology to design and implement new components in our software stack. You will work alongside other world class engineers to enable the full spectrum of AI applications across heterogeneous hardware platforms.

Why us?

• The opportunity to grow. Be at the forefront of building and shaping an industry-defining venture. There are plenty of opportunities to learn and evolve.
• The team to succeed. We are building the leading AI compiler team in Europe. Join our future-focused team to contribute to meaningful, disruptive innovations with us.
• The flexibility you need. Whether you need to take extra time off, adjust your schedule, or have other ideas to maximize your productivity, we’ve got your back
• The compensation that rewards. We are looking for world class talent and pay accordingly. We offer equity for every employee since we truly want you to participate in our success.
• The culture you desire. We actively make space to build our culture. We organize dedicated regular events and retreats for the whole team.

Your mission

• Own and evolve our Bazel-based build system powering our ML compiler platform, ensuring fast, reproducible, and reliable builds across a growing codebase and multiple hardware targets.
• Design and maintain Python packaging and distribution pipelines, delivering our compiler toolchain and runtime components as well-structured, versioned Python wheels for customers and internal teams.
• Champion developer experience by building intuitive tooling, documentation, and self-service workflows that streamline onboarding, reduce friction in local development, and empower engineers to iterate quickly and confidently.
• Develop and optimize CI/CD infrastructure to support rapid iteration, catch regressions early, and scale with the demands of a fast-moving compiler project.
• Manage third-party dependencies, SDKs, and toolchains, ensuring consistent and hermetic build environments across development, testing, and production.
• Collaborate closely with compiler, runtime, and test engineers to integrate new components smoothly, resolve build and linking issues, and keep developer workflows frictionless.
• Improve build performance through caching strategies, parallelization, dependency analysis, and tooling that minimizes developer wait times.
• Define and enforce packaging standards, release processes, and versioning policies that support reliable deployment across diverse edge hardware platforms.

Your profile

• Knowledge and hands-on experience in Python, C/C++
• Degree in Computer Science / Electrical Engineering or a related field
• Strong experience with Bazel or similar hermetic build systems
• Solid understanding of Python packaging, particularly building and distributing wheels (including native/binary wheels wrapping C/C++ extensions)
• Proven understanding of software engineering principles, data structures, design patterns, and algorithms
• Hands-on experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, or Buildkite)
• Ambition and curiosity to solve complex problems, a strong mindset to take ownership of your tasks to drive our solutions forwards, and collaborative attitude to foster our culture
• Ownership is taken beyond immediate tasks, with the tools and pipelines the team depends on kept reliable and continuously improved

Nice to haves:

• Experience in a technical leadership role or leading a project.
• Experience working with compiler projects, particularly with MLIR or LLVM build infrastructure
• Familiarity with cross-compilation toolchains and building for heterogeneous hardware targets (CPUs, GPUs, NPUs/accelerators)
• Knowledge of reproducible build practices, hermetic builds, and supply chain security
• Experience with containerization (Docker, OCI images) and infrastructure-as-code for build environments

About Us

At RooflineAI, we enable the edge-AI products you dream of. Our mission is simple: To bring the power of chips into the hands of innovators, and to make it radically easier to use cutting-edge AI models on the best hardware.