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Description

Full Job Description

We are looking for the best

About Us

42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.

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.

Qualifications, Experience, and Skills

• 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.

Preferred Qualifications

• 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.

Interview Process

• Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring

• The screening procedures may vary depending on the position, schedule, or other circumstances.

You will be individually notified of the screening schedule and results via the email address provided in your application.

Additional Information

• In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.

• All documents must be submitted in PDF format and under 30MB in size.

• If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.

• 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

• 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

※ Please review the following information before applying.

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