Senior AWS Full Stack Engineer

About the Role

We are seeking a high-performing

Lead Full Stack AWS Cloud Engineer

(10+ years of experience) to join a high-visibility implementation project supporting a major tier-1 global financial services client in Jersey City, NJ.

In this role, you will act as a true self-starter—taking complete ownership of project delivery, collaborating directly with business stakeholders to refine requirements, and architecting resilient, scalable AWS cloud solutions. You will leverage cutting-edge developer AI tools (Claude, GitHub Copilot) to accelerate delivery cycles and drive technical excellence.

Key Responsibilities

• Drive Implementation:

Independently design, build, and deploy end-to-end cloud features and data pipelines with minimal supervision.

• Stakeholder Engagement:

Partner directly with business users and functional leaders to translate complex use cases into robust technical solutions.

• AWS Cloud Infrastructure:

Design, configure, and maintain resilient deployment setups, CI/CD pipelines, and cloud infrastructure on AWS.

• AI-Augmented Development:

Proactively leverage AI coding assistants (Claude, GitHub Copilot) to optimize code quality, testing, and development speed.

• Reliability & Performance:

Implement resilience patterns, fault-tolerant configurations, and automated testing across distributed serverless and microservice architecture.

Required Qualifications & Technical Skills

• Experience:

10+ years of hands-on software development and cloud engineering experience in enterprise environments.

• Core Languages:

Strong proficiency in

Java

and

TypeScript

; experience with

DB2

or relational database architecture.

• AWS Ecosystem (Must-Have):
• Orchestration & Compute:

Airflow

,

ECS Fargate

,

AWS Lambda

• Database & Data Warehousing:

Amazon Aurora

,

Snowflake

• AWS Infra & DevOps:

Deep understanding of AWS infrastructure deployment, automated testing, resilient multi-AZ/failover setups, and cloud security best practices.

• AI Tooling:

Hands-on experience using modern AI developer tools (

Claude

,

GitHub Copilot

) to streamline coding and debugging.

• Soft Skills:

Outstanding verbal and written communication skills with a proven track record of working independently with business users and driving projects from concept to completion.