We are seeking a talented and experienced software engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department.
As a DevOps/Platform Engineer, your responsibilities will include designing and implementing complex systems, building flexible yet solid and accessible development environment for researchers, designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines, optimizing a variety of builds, building strong relationships with researchers, communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build.
About you:
- 5+ years of successful experience in a similar DX / DevOps / SRE role.
- Proficiency in software development (Python, Go…) and programming best practices.
- Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations…
- Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability…
- Technical product mindset (e.g. understanding how to debug poor adoption).
- Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions).
- Ownership, high agency and constantly seeking to learn and improving things for others.
- Autonomous, self-driven and able to work well in a fast-paced startup environment.
- Low ego and team spirit mindset.
Your application will be all the more interesting if you also have:
- First hand Bazel (or equivalent) experience.
- Strong knowledge of Python's ecosystem.
- Familiarity with GPU based workloads and ecosystems.
- Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).
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