Engineering Manager Full Stack Engineering Job Newark area,California USA,Software Development

Engineering Manager Full Stack Engineering

California, Newark

08/06/2026

Contract

Active

Job Description:

Job Summary The Engineering Manager – Full Stack Engineering will provide people leadership, hands‑on technical expertise, and delivery leadership for mission‑critical enterprise platforms. This player‑coach role will spend approximately 50% of the time contributing to hands‑on development while managing one or more Agile/Scrum pods. The position requires strong full‑stack engineering expertise, AWS cloud experience, and practical use of AI‑assisted development tools to improve engineering productivity, quality, and delivery speed.

Key Responsibilities

Manage, mentor, and coach full-stack engineers to support performance, career growth, and engineering excellence.
Lead one or more Scrum pods and support predictable delivery, quality execution, and effective team collaboration.
Foster a culture of ownership, accountability, learning, experimentation, and continuous improvement.
Coach engineers on technical practices and effective and responsible use of AI‑assisted development tools.
Actively contribute production code across backend services, frontend applications, and shared platforms.
Apply high‑quality coding, testing, and software design practices.
Own and review solution designs with a focus on security, scalability, reliability, and observability.
Conduct code reviews and establish technical and engineering standards.
Troubleshoot complex technical issues, lead Root Cause Analysis (RCA), and implement long‑term improvements.
Use AI‑assisted tools for coding, refactoring, code reviews, quality analysis, architecture ideation, documentation, and optimization.
Drive adoption of AI‑assisted development practices to improve engineering productivity, quality, and delivery speed.
Evaluate emerging AI capabilities and apply them to appropriate engineering use cases.
Establish best practices and guardrails for responsible AI‑assisted software development.
Drive sprint planning, backlog grooming, estimation, and delivery tracking.
Identify delivery risks, technical debt, and capacity constraints and lead mitigation activities.
Ensure development artifacts align with applicable security, compliance, and regulatory standards.
Embed reliability, availability, operational excellence, and observability into engineering practices.
Lead post‑release reviews, incident follow‑ups, and continuous improvement activities.
Develop data‑driven reports for senior leadership covering delivery status, risks, dependencies, and outcomes.
Translate complex technical topics into executive‑level updates, dashboards, and summaries.
Collaborate effectively with product, architecture, operations, and business stakeholders.
Support collaboration across distributed teams and time zones.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
12+ years of software engineering experience with people management responsibilities.
Demonstrated experience managing Agile/Scrum pods in delivery‑focused environments.
Strong hands‑on full‑stack engineering experience with modern enterprise systems.
Strong hands‑on experience with Java.
Strong experience with React.
Experience with AWS API Gateway.
Experience with AWS Step Functions.
Experience designing and developing enterprise applications and services.
Experience providing technical leadership, mentoring engineers, and supporting engineering teams.
Practical experience using AI‑powered development tools within the software development lifecycle.

Preferred Qualifications

Proven experience building and leading high‑performing engineering teams.
Experience with Java and Spring Boot for backend development.
Experience with Node.js.
Experience with React and Type Script;
Angular or Vue experience is also beneficial.
Experience designing and developing microservices and REST APIs.
Cloud‑native development experience with AWS services such as EC2, EKS, RDS, and Lambda.
Experience with CI/CD pipelines and Dev Ops tools such as Git Hub, Git Lab, Jenkins, or Cloud Bees.
Strong understanding of scalability, performance, resiliency, and security patterns.
Experience using metrics, dashboards, and reports to monitor delivery health and operational performance.
Experience applying AI‑assisted development tools to improve engineering efficiency and outcomes.

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