Member of Engineering (Infrastructure)
1 мес. назад
EMEAWorldwideRemote
Engineering role focused on building and scaling infrastructure for advanced AI systems at .
О компании
- We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
- Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
Обязанности
- Design and implement the build, CI/CD, and tooling infrastructure that 's researchers and engineers rely on every day. You'll join our infrastructure team as the second engineer focused on developer experience, partnering closely with the person who owns this area today while sharing on-call, incident response, and platform ownership with the wider team. You'll make our monorepo fast, our builds reproducible, and our Python ecosystem coherent, leveraging automation to multiply your impact across every team at .
- Make it seamless for our researchers and engineers to build, test, and ship. You'll take on significant ownership of our build and CI/CD systems, with the support of an established infrastructure team behind you.
- You will be responsible for designing and managing the infrastructure required by 's engineers and researchers. Leveraging automation to multiply your impact is essential for this role. Additionally, you will develop tools and solutions aimed at increasing the efficiency of our engineering teams.
Условия
- Fully remote work & flexible hours
- 37 days/year of vacation & holidays
- Health insurance allowance for you & dependents
- 16 weeks of flexible, full-pay parental leave
- Well-being, always-be-learning & home office allowances
- Company-provided equipment
- Frequent team get togethers
- Diverse & inclusive people-first culture
Другое
- In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
- exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
- Build Systems Strong hands-on experience with Bazel — writing and maintaining rules, macros, and toolchains
- Familiarity with remote caching and build optimisations
- CI/CD Experience setting up and managing CI/CD pipelines, preferably Buildkite
- Comfortable with dynamic pipelines, agent fleet management, and build-time optimization
- Python ecosystem Strong Python proficiency, including packaging, dependency management (uv/pip/Poetry), and virtual environments
- Experience integrating Python and ML/research codebases into a monorepo build system
- Proficient in Go Experience writing backend services
- Familiarity writing CLI applications and internal developer tooling
- Debugging and Problem-Solving Expertise in debugging issues on Linux, including network and process-related problems
- Containerization and Orchestration Experience running containers using Kubernetes
- Experience with managed or self-hosted Kubernetes
- Cloud Services Familiarity with AWS services
- Comfortable managing IAM policies and ensuring proper permission settings
- Hands-on experience with Terraform or OpenTofu for managing complex AWS environments
- Operations & Collaboration Skilled in observability and monitoring tools and practices
- Experienced in incident response protocols and best practices
- Comfortable working within a broader infrastructure team — sharing on-call, contributing to incident response, and building tooling other engineers depend on
- Intro call with the team lead
- Technical Interview(s) with a member of our engineering team
- Team fit call with the People team
- Final interview with one of our Founding engineers