Software Engineer, Engineering Acceleration | Consumer Devices

Responsibilities

• Design, build, and operate CI/CD systems and software delivery pipelines for software that runs both on device and in the cloud.
• Lead the design and architecture of internal platform capabilities across build, test, deployment, workflow automation, and developer tooling.
• Make hands-on technical decisions about platform design, abstraction boundaries, and system tradeoffs based on the team’s current stage, scale, and operational needs.
• Improve developer productivity by shortening feedback loops across build, test, debugging, environment setup, and release-adjacent workflows.
• Build self-serve paved-road workflows that reduce manual effort and make common engineering tasks fast, reliable, and easy to adopt.
• Use AI-native tooling and automation to improve engineering workflows, failure triage, and developer output quality.
• Build secure-by-default platform capabilities, including access controls, secrets and credential handling, artifact permissions, auditability, and policy enforcement in software delivery workflows.
• Partner closely with product, systems, release, quality, and infrastructure teams to understand pain points and turn them into durable platform improvements.
• Define and track metrics for platform health and engineering effectiveness, including build times, queue times, failure rates, flaky failures, and deployment lead time.
• Guide engineering teams on pragmatic observability, reliability, and scalability choices for the systems they build.
• Participate in the on-call rotation for the systems owned by the team.

Requirements

• 7+ years of software engineering experience, including 5+ years building developer productivity, CI/CD, internal platform, or engineering systems.
• Deep experience designing and operating robust CI/CD pipelines, build systems, and software delivery infrastructure for complex products.
• Strong track record of personally building platform features and workflow improvements that materially increased engineering velocity, reliability, or developer experience.
• Experience making architectural decisions for internal platforms, including when to standardize, when to abstract, and when to keep systems simple.
• Experience adapting technical decisions to the maturity and scaling stage of an organization, balancing speed, reliability, maintainability, and adoption.
• Working knowledge of secure software delivery practices such as least-privilege access, secrets management, policy enforcement, auditability, or software supply chain hardening.
• Strong empathy for the tools, workflows, and frustrations that create toil or slow engineering teams down.
• Comfortable operating in ambiguous, fast-changing environments and bringing structure where needed.
• Communicate clearly and work effectively across teams with different priorities, constraints, and technical needs.

Technical Context

• Large-scale deployment of CPU/GPU nodes running in Kubernetes clusters across regions.
• Core technologies: Terraform, Buildkite, Bazel, Postgres, Cosmos DB, Kafka.