Senior Platform Engineer
Indexed description
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
Overview
Join 42dot as a Senior Platform Engineer powering the build, delivery, and cloud transition of our Software Defined Vehicle (SDV) platform and autonomous driving tools. Working within a small senior R&D team operating across multiple time zones, you will own two equally important missions: keep our developer and CI environments world-class today, and lead the migration of our virtual vehicle development platform from local Docker deployments to a hosted, multi-tenant cloud offering tomorrow. Your work will determine how fast our engineers iterate now and how confidently our partners consume the platform as a hosted product in the years ahead.
Role And Responsibilities
- Lead the migration of the MetaSDV platform from local, Docker-based developer deployments to a hosted, multi-tenant cloud offering.
- Operate the cloud platform: capacity planning, SLOs, on-call rotation, cost discipline, backup and disaster recovery, partner-grade reliability.
- Implement and maintain security and compliance controls: tenant isolation, audit logging, secret and certificate lifecycle, identity boundaries across developer, CI and partner-facing environments.
- Own build and release engineering end-to-end: multi-layer containerized dev and CI environment, GitLab CI/CD pipelines, compiler caches (sccache and similar), multi-architecture builds (x86_64, ARM, including embedded targets and CI runners), nightly and versioned artifact publishing, offline distribution packages, container registry hygiene.
- Maintain test and observability infrastructure: containerized E2E, integration and performance/load test suites; logs, metrics, traces, dashboards; hardware-in-the-loop adjacent runners (RENODE-based MCU emulation, etc.).
- Provision and operate partner-facing instances of the platform: access management, environment lifecycle, and integration support during partner onboarding.
- Champion developer experience and cross-team alignment: one-command local environments, reproducible builds, fast feedback loops, and ongoing collaboration with engineers, architects, and technical leads to align infrastructure with product roadmap and partner integration timelines.
- Bachelor's degree in Computer Science or related field, equivalent practical experience.
- 5+ years of production Platform engineering / DevOps / Build / Release experience.
- Hands-on production experience leading a migration of a software product from on-premise or local Docker deployments to a hosted cloud offering.
- Hands-on production experience designing and operating cloud-hosted services: Kubernetes (manifests, helm, ingress, basic operators) and at least one major cloud platform (AWS, GCP, or Azure).
- Strong hands-on with Docker and multi-stage container builds in real production pipelines.
- Strong hands-on with GitLab CI/CD or comparable system (GitHub Actions, Jenkins, Buildkite) at the level of complex multi-stage pipelines, runners, and caching.
- Linux system fluency: networking, filesystem, processes, performance debugging.
- Fluent English.
- Experience with Bazel or similar large-scale build systems, including migration from Cargo / CMake stacks.
- Linux system fluency.
- Experience with hardware-in-the-loop or simulation-in-the-loop CI infrastructure (e.g. RENODE, QEMU).
- Practical hands-on with formal security/compliance frameworks (SOC2, ISO 27001, or automotive cybersecurity such as UN R155 / R156).
- Practical use of AI-assisted productivity tools (LLM-based pipeline drafting, agent-assisted ops, CI log triage).
- Knowledge of automotive products, especially SDV OS or related platforms.
- Practical experience with Infrastructure as Code (Terraform, Pulumi, or equivalent).
- Awareness of cloud cost optimization (budget alerts, right-sizing, reserved capacity).
- Working experience with multi-site and multi-contributor teams.
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