Engineering Manager

JD:

Hands-on Engineering Manager to lead a high-performing Full-Stack engineering team responsible for modernizing and scaling a business-critical product catalog platform.

This is a player-coach role requiring both strong technical contribution and people leadership. 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).