Engineering Manager Full Stack
Posted
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).
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).
Easy Apply