Senior AWS Full Stack Engineer

System One
Reston, VA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Component-Based Software Engineering Application Layers Automation of Tests Unit Testing Software Quality Code Review Continuous Integration
+24 more
Software Debugging DevOps Programming Tools Distributed Systems Amazon DynamoDB Python (Programming Language) Software Construction Software Deployment Software Engineering Systems Integration Enterprise Software Applications GitHub Copilot Large Language Models Spring-boot Generative AI Git Amazon Relational Database Service AngularJS Information Technology Front End Software Development Api Gateway Restful APIs GPT Microservices

Job description

Senior AWS Full Stack Engineer to join a team supporting enterprise applications within the financial services industry. This is a hands-on development role focused on building, enhancing, and supporting scalable applications using Java, Spring Boot, Angular, Python, and AWS.

The ideal candidate brings strong full stack development experience, solid AWS knowledge, and practical experience using AI/Generative AI tools as part of the software development lifecycle. The engineer will work across application layers, contribute to technical decisions, translate business requirements into working solutions, and help improve development efficiency through modern engineering and AI assisted practices.

Senior AWS Full Stack Engineer to join a team supporting enterprise applications within the financial services industry. This is a hands-on development role focused on building, enhancing, and supporting scalable applications using Java, Spring Boot, Angular, Python, and AWS.

The ideal candidate brings strong full stack development experience, solid AWS knowledge, and practical experience using AI/Generative AI tools as part of the software development lifecycle. The engineer will work across application layers, contribute to technical decisions, translate business requirements into working solutions, and help improve development efficiency through modern engineering and AI assisted practices.

Key Responsibilities

. Develop and maintain full stack applications using Java/Spring Boot, Angular, and Python.

. Build and support cloud native applications and services within AWS heavy environments.

. Work with AWS services such as Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS.

. Develop and support APIs, microservices, integrations, and distributed application components.

. Use GenAI and AI assisted development tools, including GitHub Copilot, ChatGPT, and LLM based solutions, to improve development productivity and code quality.

. Apply LLMs and agent based/agentic workflows where appropriate to automate development tasks and enhance application capabilities.

. Create unit and automated tests and participate in peer and AI assisted code reviews.

. Translate business and functional requirements into reliable, maintainable technical solutions.

. Work closely with developers, product partners, and other stakeholders in an Agile delivery environment.

. Mentor less experienced developers while remaining actively involved in hands on development and troubleshooting.

. Contribute to CI/CD, DevOps, testing, and application reliability practices.

Requirements

5+ years of full stack software engineering experience, preferably supporting large scale enterprise applications.

. Strong hands-on development experience with Java and Spring Boot.

. Strong front end development experience with Angular.

. Working proficiency with Python for application development, automation, or AI related use cases.

. Strong hands on experience developing and deploying applications on AWS.

. Experience with relevant AWS services such as Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS.

. Experience developing REST APIs, microservices, and distributed applications.

. Practical experience using GenAI/AI development tools, such as GitHub Copilot, ChatGPT, or similar tools, as part of day to day software development.

. Understanding of LLMs, LLM APIs, and agentic/agent based workflows, with experience applying them to software development or application capabilities.

. Experience with CI/CD pipelines, automated testing, Git based development, and modern DevOps practices.

. Strong understanding of unit testing, code reviews, debugging, and software engineering best practices.

. Ability to work independently, solve complex technical problems, and take ownership of development initiatives.

. Strong communication and collaboration skills, including the ability to mentor junior engineers.

. Financial services or other large enterprise application experience is a plus., Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field

Benefits & conditions

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

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