Senior Software Engineer, Infrastructure / Efficiency / Productivity
Core
Architecting and executing AI-first automation and enterprise tooling to improve engineering productivity, delivery throughput, and cost efficiency for a globally distributed organization.
Role type
Staff/Principal Infrastructure & Productivity Architect
Builds
AI/LLM-enabled workflow automation, CI/CD pipelines, build systems, and developer tooling platforms
Domain
Consumer electronics streaming platform engineering infrastructure
Deliverable
production ML models | infrastructure
Required skills
AI/LLM workflow automation, CI/CD pipeline design, build system architecture, distributed systems design, security-by-default implementation, cross-functional leadership, embedded Linux development, systems thinking
Preferred skills
Bazel/BitBake/Yocto build systems, TestRail, Jira automation, AI system evaluation and monitoring
Technologies
Jenkins, Docker, Git, Bazel, BitBake, Yocto, TestRail, Jira
Responsibilities
Define and lead AI-first automation roadmap for engineering infrastructure; Architect and ship AI/LLM-enabled workflow automation across the SDLC; Establish policies and guardrails for AI usage in internal tools; Set technical direction and standards for globally used developer tools; Architect and evolve CI/CD and build/test pipelines; Drive Jira workflow design and automation; Design and implement automation spanning Engineering, Product, Marketing, and Partners; Embed secure-by-default controls into pipelines and tooling; Improve build/test performance and reliability; Drive cost efficiencies across tooling/infrastructure; Lead design reviews, mentor senior engineers, and unblock hardest technical problems; Provide long-term stewardship via roadmaps and operational maturity practices
Seniority
Staff/Principal, hands-on IC with strategic leadership