> Markdown version of [/jobs/ext/2642159-aws-full-stack-software-engineer](https://www.wearedevelopers.com/jobs/ext/2642159-aws-full-stack-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Full Stack Software Engineer - **Company:** The Joule - **Location:** Reston, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** HTML, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Component-Based Software Engineering, Automation of Tests, Unit Testing, Cascading Style Sheets (CSS), Cloud Computing, Code Generation, Software Quality, Code Review, Continuous Integration, DevOps, Programming Tools, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Software Deployment, Software Engineering, Systems Integration, TypeScript, Enterprise Software Applications, GitHub Copilot, Large Language Models, Spring-boot, Software Application Programming, Generative AI, Git, Amazon Relational Database Service, AngularJS, Information Technology, Front End Software Development, Api Gateway, Restful APIs, GPT, Microservices - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/d0667545-e6b9-4541-b3c4-550424671e9f ## About the Role * 5+ years of full stack software engineering experience in enterprise application environments. * Strong hands-on development experience with Java and Spring Boot. * Strong experience developing applications and services using Python. * Front end development experience with Angular, TypeScript, HTML, and CSS. * Hands on experience developing and deploying applications on AWS. * Experience with AWS services such as Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS. * Strong understanding of REST APIs, microservices, and distributed systems. * Practical experience using Generative AI and AI assisted development tools, such as GitHub Copilot and ChatGPT. * Experience working with Large Language Models (LLMs), LLM APIs, and agentic or agent-based workflows. * Experience applying AI to software engineering activities such as code generation, unit testing, test automation, and code reviews. * Familiarity with CI/CD pipelines, DevOps practices, Git, and automated testing frameworks. * Strong debugging and problem-solving skills with the ability to work independently on complex technical assignments. * Ability to work effectively with business and technology stakeholders in an enterprise environment. * Experience mentoring or providing technical guidance to junior developers. * Education: Bachelor's degree in computer science, Software Engineering, Information Technology, or a related technical field. ## Description * Develop and maintain full stack applications using Java/Spring Boot, Python, and Angular. * Build and support cloud native applications and services on AWS, including Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS. * Develop REST APIs, microservices, integrations, and distributed application components. * Incorporate AI/GenAI tools such as GitHub Copilot, ChatGPT, and LLM based solutions into development workflows. * Work with LLM APIs and agentic/agent based workflows to automate tasks and enhance application capabilities. * Use AI assisted development practices for code generation, unit testing, test automation, and code reviews. * Participate in peer reviews and maintain strong standards for code quality, performance, security, and maintainability. * Translate business and technical requirements into reliable application solutions. * Contribute to CI/CD, automated testing, and modern DevOps practices. * Mentor junior engineers while remaining an active, hands-on contributor. ## Related Videos - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [The Best Software Developer Blogs to Read](https://www.wearedevelopers.com/magazine/156-the-best-software-developer-blogs-to-read)