Engineering Manager - Full Stack

Engineering Manager - Full Stack

Location: Irvine, California

Key Responsibilities:

• Lead sprint planning, delivery execution, and retrospectives
• Contribute directly to architecture, coding, code reviews, and production deployments
• Drive modernization initiatives across backend, frontend, APIs, and database layers
• Mentor and grow engineering talent
• Drive AI-assisted development workflows and engineering standards

Required Technical Skills:

• C#/.NET, Go, Python, or Java
• React or modern frontend frameworks
• REST APIs and microservices
• MS SQL Server or PostgreSQL
• CI/CD and automated testing
• AI-assisted development tooling experience

Required Leadership Skills:

• 10+ years in software engineering, including 2+ years in a lead/manager role.
• AI-driven SDLC: Hands-on experience delivering production code using tools like Copilot, Claude Code, or Cursor; able to articulate workflow impact and guardrails. Coach teams on AI-driven SDLC practices (agentic coding, prompt engineering, automated testing, eval-driven quality).
• Full-stack orientation: Comfortable across frontend, backend, and data layers.
• End-to-end ownership: Proven delivery from scoping through release and retrospectives.
• Engineering excellence: Strong practices in code quality, testing, and CI/CD for production-grade delivery. Monitor and improve team health, velocity, and code quality benchmarks.
• Capture and share learnings, architectural decisions, and process improvements.
• People leadership: Experience hiring, mentoring, and providing direct feedback.
• Communication: Clear, effective collaboration across product, design, and engineering. Proactively communicate progress, risks, and decisions to VP Engineering and stakeholders

Nice to Have:

• Experience in e-commerce, retail tech, or high-scale consumer platforms.
• Managing distributed/nearshore teams (US, Mexico, LATAM, Asia).
• Contributions to developer tooling, platforms, or SDLC improvements at scale.
• Exposure to MLOps or model deployment pipelines.
• Strong documentation practices (RFCs, architecture decisions, wikis)