Developer Operations / DevOps - Bazel Monorepo

Fractile
Bristol, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

C++ (Programming Language) Compilers Continuous Integration Software Debugging DevOps Monitoring of Systems Python (Programming Language) Machine Learning Prometheus Software Systems SystemVerilog Rust (Programming Language)
+6 more
Datadog Scripting Delivery Pipeline Grafana Build Tools Monolithic Repository

Job description

As a DevOps Engineer you will design and own Bazel rules and extensions across the stack, scale our monorepo as we grow across Python, C++, Rust, SystemVerilog, and ML workloads, and create reproducible multi-language build pipelines. You will debug and triage CI pipeline failures, optimise CI performance across large compute clusters, build and maintain infrastructure monitoring and observability tooling, and define alerting thresholds, runbooks, and incident response workflows for build and CI infrastructure. You will contribute upstream to Bazel rules we depend on and help shape the developer experience for every engineer at Fractile.

Requirements

You bring deep build system expertise alongside an SRE mindset. You are systematic in how you approach fault isolation and root cause analysis, and you apply SLO-driven thinking to build reliability and developer productivity. You thrive on high variety - ML, compilers, kernel drivers, simulators, hardware verification - and you understand that your work becomes the foundation every engineer at Fractile builds on. You take that responsibility seriously., * 5+ years in software or infrastructure engineering

  • 3+ years working with build systems
  • Strong hands-on experience with Bazel
  • Python scripting and automation skills
  • Experience with CI/CD for large-scale products, including debugging and resolving pipeline failures at scale
  • Familiarity with infrastructure monitoring and observability tooling (e.g. Prometheus, Grafana, Datadog, or similar)
  • Working knowledge of SRE principles - SLOs, alerting design, incident management, and on-call practice

Benefits & conditions

  • Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role
  • Equity & Ownership: meaningful equity so everyone shares in the value creation
  • Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance
  • Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment

Fractile is seeking to increase the clock speed of global progress, one chip at a time. We’ve recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us!

About the company

Fractile was founded in 2022 on the bet that, eventually, the world’s most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts.

The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems.

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