Full Stack Engineering-Engineering Manager
Job Location:
Job Location:
Newark, DE - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
4 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Full Stack Engineering-Engineering Manager
Newark CA(Onsite)
Contract-6 Months
Newark CA(Onsite)
Contract-6 Months
Mandatory Skills : AWS API Gateway Aws Step Functions Java React
Basic Qualifications:
Bachelors 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
Bachelors 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:
Backend: Java/Spring Boot
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
Strong experience with:
Backend: Java/Spring Boot
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
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
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:
Coding and refactoring
Code reviews and quality analysis
Design and architecture ideation
Documentation generation
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
Use AI as a core part of daily work including:
Coding and refactoring
Code reviews and quality analysis
Design and architecture ideation
Documentation generation
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
