Director of Engineering (Engineering Productivity/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director of Engineering (Engineering Productivity/AI): Leading a team focused on engineering productivity, internal tooling, and AI-enabled development workflows to accelerate the SDLC with an accent on reducing developer friction and increasing delivery velocity. Focus on implementing LLM-powered workflows, optimizing CI/CD systems, and improving observability across the organization.
Location: On-site in Los Angeles, CA or San Francisco Bay Area, CA. Must be a U.S. citizen, lawful permanent resident, or eligible for ITAR authorizations.
Salary: $250,000 - $320,000
Company
is building autonomous factories to help aerospace and defense companies manufacture critical parts up to 10x faster and 2x cheaper.
What you will do
- Lead and grow a team of 6-10 engineers focused on engineering productivity and internal developer tools.
- Define and execute a roadmap to improve end-to-end SDLC efficiency, from planning and building to testing and observability.
- Drive the adoption of AI-assisted development tools and LLM-powered workflows across the engineering organization.
- Identify developer workflow bottlenecks and implement scalable, lasting solutions.
- Optimize CI/CD systems, testing frameworks, and deployment processes.
- Hire, mentor, and develop engineers and tech leads while establishing productivity metrics.
Requirements
- 8-12 years in software engineering, with 3-5+ years in engineering management.
- Strong backend or platform engineering background with deep familiarity with modern SDLC systems.
- Experience leading and scaling high-performing engineering teams with a track record of improving velocity.
- Proficiency with CI/CD tooling (GitHub Actions, Buildkite), observability stacks (Datadog, Prometheus), and cloud infrastructure (AWS/GCP, Kubernetes).
- Bachelor's degree in Computer Science or related field, or equivalent experience.
- U.S. citizenship, lawful permanent residency, or protected individual status as per ITAR regulations.
Nice to have
- Hands-on experience implementing AI-assisted development workflows and familiarity with LLM APIs (OpenAI, Anthropic).
- Experience with CI/CD optimization at scale.
- A data-driven approach to measuring and improving developer productivity.
- Experience treating internal tooling as a product with defined user feedback loops.
Culture & Benefits
- Comprehensive medical, dental, vision, and life insurance plans.
- 401k retirement plan.
- Flexible vacation policy and equity options.
- Relocation support may be provided based on business need.
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