(Senior) DevOps Engineer - Build Systems & Monorepo

We are seeking an experienced DevOps Engineer to lead our transition to a monorepo architecture and establish world-class build and CI/CD infrastructure. This is a high-impact role where you will architect and implement the build systems that enable several engineering teams to collaborate efficiently across C/C++, Python, Go, and embedded firmware projects.

You will be optimizing build times, establishing caching strategies, and creating the tooling that accelerates our engineering velocity., Monorepo Migration & Architecture

• Lead the migration of 10+ projects into a unified monorepo structure with clear ownership boundaries

• Design and implement the dependency graph system that determines build/test scope for each commit

• Establish project templates, CODEOWNERS policies, and contribution workflows

• Create documentation aggregation pipelines (MkDocs) for unified developer documentation

Build Systems & CI/CD

• Architect GitLab CI pipelines with intelligent change detection and targeted builds

• Optimize CMake build configurations for multi-toolchain support (GCC, Clang, ARM cross-compilation)

• Implement and maintain sccache with Redis backend for distributed C++ compile caching

• Configure Python build tooling (uv, scikit-build-core) for native extension packaging

• Reduce incremental build times through strategic caching

Artifact & Release Management

• Manage GitLab Package Registries (PyPI, Conan, Container, Generic) for internal artifact distribution

• Implement semantic versioning and release automation across all project types

Infrastructure & Platform

• Maintain GitLab Runner infrastructure

• Manage cache infrastructure (Redis clusters for sccache, GitLab caching)

• Monitor CI/CD metrics and continuously optimize pipeline performance

• Collaborate with Platform team on deployment pipelines

Developer Experience

• Create and maintain developer tooling, CLI utilities, and local development environments

• Write documentation for build systems, workflows, and troubleshooting

• Provide support and training to engineering teams on monorepo best practices

• Champion build system improvements and gather feedback from development teams

• 5+ years in DevOps, Build Engineering, or Platform Engineering roles

• 3+ years hands-on experience with GitLab CI/CD (pipelines, runners, artifacts)

• Experience managing monorepo or large-scale multi-project repositories

• Track record of reducing build times and improving developer productivity

Technical Skills

• Expert-level CMake knowledge (presets, toolchains, cross-compilation)

• Strong C/C++ build chain understanding (GCC, Clang, linkers, static/shared libraries)

• Python packaging ecosystem (pip, uv, wheels, setuptools, scikit-build-core, pybind11)

• Distributed caching systems (sccache, ccache, Redis)

• Containerization (Docker, multi-stage builds, BuildKit, container registries)

• Linux systems administration and shell scripting (Bash)

• Git advanced workflows (submodules, sparse checkout, partial clone), * Experience with ARM embedded toolchains (arm-none-eabi-gcc, bare-metal development)

• Conan package manager for C++ dependency management

• Kubernetes (deployment, Helm, operators) - our runners use K8s executors

• Go build toolchain and module system

• JavaScript/TypeScript build tools (pnpm, Vite, esbuild)

• Familiarity with Bazel (for future evaluation, not immediate requirement)

• Experience in hardware or embedded systems companies

• Strong communication level of English language, CI/CD GitLab CI, GitLab Runners (Kubernetes executor) Build Systems CMake, Conan, uv, pybind11, scikit-build-core Languages C, C++, Python, Go, Bash, YAML Compilers GCC, Clang/LLVM, arm-none-eabi-gcc Caching sccache, Redis, GitLab cache Containers Docker, BuildKit, GitLab Container Registry Infrastructure Kubernetes (RKE2), Linux (Ubuntu) Documentation MkDocs, Markdown, Doxygen

• Competitive salary based on experience

• Equity participation in a growing deep-tech company

• Flexible hybrid work arrangement (3 days office / 2 days remote)

• 30 days annual vacation

• Work on cutting-edge neuromorphic computing technology

• High-impact role with direct influence on engineering productivity

• Collaborative team culture with experienced engineers from academia and industry

SpiNNcloud Systems is a pioneering deep-tech company developing brain inspired computing hardware and software based on the SpiNNaker2 architecture. Our Hardware-as-a-Service platform provides researchers and enterprises with remote access to cutting-edge neuromorphic computing resources, enabling breakthroughs in AI, brain simulation, and energy-efficient computing.