Engineering Manager Full Stack Engineering

Position: Engineering Manager Full Stack Engineering

Location: Newark, CA *Onsite

Duration: 1 Year

Role Overview

We are seeking an Engineering Manager Full Stack Engineering who combines strong people leadership, hands-on technical depth, and modern execution practices. This is a player-coach role, where you will spend approximately 50% of your time coding while managing one or more Scrum pods delivering mission-critical enterprise platforms.

A key expectation for this role is day-to-day, practical use of AI to improve engineering productivity, quality, and speed. You will champion AI adoption, continuously learn new AI capabilities, and coach engineers on how to use AI responsibly and effectively across the software development lifecycle.

An ideal candidate will:

People Leadership & Team Development:

Directly manage, mentor, and coach full-stack engineers, driving performance, career growth, and engineering excellence

Act as a coach and mentor, helping engineers grow technically, professionally, and in their effective use of AI tools

Build high-performing, psychologically safe teams that value ownership, accountability, and continuous improvement

Lead one or more Scrum pods, ensuring predictable delivery, quality execution, and healthy team dynamics

Foster a culture of learning, experimentation, and modern engineering practices

Hands-On Technical Leadership ( 50%):

Actively contribute production code across backend services, frontend applications, and shared platforms

Lead by example with high-quality coding, testing, and design practices

Own and review solution designs with a strong focus on security, scalability, reliability, and observability

Perform thorough, actionable code reviews and set technical standards for the team

Troubleshoot complex issues, lead root cause analysis, and drive long-term engineering improvements

AI-Driven Engineering & Innovation (Must Have):

Use AI as a core part of daily work, including:

o Coding and refactoring

o Code reviews and quality analysis

o Design and architecture ideation

o Documentation generation

o Identifying inefficiencies and optimization opportunities

Champion the adoption of AI tools and workflows across the team to improve productivity, quality, and delivery speed

Stay current with emerging AI capabilities and apply them pragmatically to real engineering problems

Teach and coach engineers on how to effectively and responsibly use AI in day-to-day development

Help establish best practices and guardrails for AI-assisted development within the team

Execution & Operational Excellence:

Drive sprint planning, backlog grooming, estimation, and delivery tracking

Proactively identify delivery risks, technical debt, and capacity constraints, and lead mitigation efforts

Ensure all development artifacts comply with security, compliance, and regulatory standards

Embed reliability, availability, operational excellence, and observability into everyday engineering work

Lead post-release reviews, incident follow-ups, and continuous improvement actions

Reporting & Communication:

Develop clear, data-driven reports for senior leadership covering delivery status, risks, dependencies, and outcomes

Translate complex technical topics into executive-friendly updates, dashboards, and summaries

Communicate effectively with product, architecture, operations, and business stakeholders

Operate comfortably across distributed teams and time zones

Basic Qualifications:

Bachelor's degree in Computer Science Engineering, or equivalent practical experience

12+ years of software engineering experience with proven people management responsibility

Demonstrated experience managing Agile/Scrum pods in delivery-focused environments

Strong hands-on experience as a full-stack engineer in modern enterprise systems

Preferred Skills/Experience:

Proven track record of building and leading high-performing engineering teams

Strong experience with:

o Backend: Java/Spring Boot, Node.js

o Frontend: React, TypeScript (Angular/Vue acceptable)

Hands-on experience designing and building microservices and REST APIs

Cloud-native development experience on AWS (EC2, EKS, RDS, Lambda, etc.)

Experience with CI/CD pipelines and DevOps tooling (GitHub/GitLab, Jenkins/CloudBees, etc.)

Strong understanding of scalability, performance, resiliency, and security patterns

Experience using metrics, dashboards, and reports to track delivery health and operational performance

Practical experience using AI-powered development tools to improve engineering efficiency and outcomes

Skills

Mandatory Skills : AWS API Gateway, Aws Step Functions, Java, React