Senior AWS Full Stack Software Engineer

About the role

This is a hands-on engineering role focused on developing and enhancing scalable, cloud-based applications using Java, Spring Boot, Python, Angular, and AWS. The engineer will work across the full application stack, building APIs and microservices, developing modern user interfaces, and deploying solutions within an AWS heavy environment. The role will also incorporate AI and Generative AI capabilities into software development workflows, including code generation, automated testing, code reviews, and productivity improvements.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• Bachelor's degree in computer science, Software Engineering, Information Technology, or a related technical field.