Senior AWS Full Stack Engineer

System One

Plano (TX)

On-site

USD 120,000 - 150,000

Full time

7 days ago

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Job summary

System One is seeking a Senior AWS Full Stack Engineer to join a team supporting enterprise applications in the financial services sector. You will build, enhance, and operate scalable apps using Java, Spring Boot, Angular, Python, and AWS within an AI-enabled development lifecycle.

You will work across layers, guide technical decisions, translate requirements into solutions, and improve efficiency with modern engineering and AI-assisted practices while mentoring junior engineers in an Agile

Qualifications

: 5+ years of full stack software engineering experience, preferably supporting large scale enterprise applications.
2-3 more lines describing strong AWS knowledge and AI tools integration.

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 to improve development productivity and code quality.
Apply LLMs and agent based workflows to automate development tasks.
Create unit and automated tests and participate in code reviews.
Translate requirements into reliable technical solutions.
Collaborate in an Agile delivery environment and mentor junior engineers.

Skills

Java

Spring Boot

Angular

Python

AWS

GenAI tools

GitHub Copilot

ChatGPT

LLM APIs

CI/CD

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field

Tools

GitHub Copilot

ChatGPT

Job description

Job Title: Senior AWS Full Stack Engineer
Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL

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.

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.

Required qualifications to be successful in this role

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.