> Markdown version of [/jobs/ext/4012974-full-stack-engineer-181553](https://www.wearedevelopers.com/jobs/ext/4012974-full-stack-engineer-181553). 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). --- # Full Stack Engineer- 181553 - **Company:** PEOPLESERVE INC - **Location:** Boston, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon S3, Automation of Tests, Software Quality, Continuous Integration, Software Design Patterns, DevOps, Distributed Systems, Amazon DynamoDB, Gradle, Junit, Python (Programming Language), PostgreSQL, Apache Maven, NoSQL, Object-Oriented Software Development, Mockito, Software Engineering, GitHub Copilot, Spring-boot, AI Coding Agents, Git, Cloudformation, Event Driven Architecture, Kubernetes, Apache Kafka, Restful APIs, Amazon Simple Queue Service (SQS), Serverless Computing, Docker, Microservices - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/eeae6b9c-9f1e-4d9d-8681-b93cb1cadb8b/full-stack-engineer- ## About the Role Candidates should have 10 years of hands-on software engineering experience with strong expertise in distributed systems, event-driven architecture, and microservices. Proficiency in Java (10 ) and Python is required, along with deep experience using Spring Boot and strong foundations in object-oriented design and design patterns. Experience developing secure, high-performance RESTful APIs is essential. You must have strong knowledge of AWS services including SQS, SNS, Lambda, ECS/EKS (Kubernetes), S3, RDS/PostgreSQL, DynamoDB, CloudFormation, and Apache Kafka. Experience with containerized and serverless architectures (Docker, Kubernetes) is also required. Strong capabilities with relational and NoSQL databases, data modeling, and automated testing using TDD/DDD with frameworks such as JUnit and Mockito are essential. A solid understanding of DevOps practices, CI/CD pipelines, Git, Maven/Gradle, and Agile workflows is expected. Candidates should also have experience leveraging GitHub Copilot and AI-assisted software development tools to accelerate development, improve code quality, enhance productivity, and support modern engineering practices. Successful candidates excel at interpreting business requirements, managing priorities effectively, collaborating across distributed teams, and maintaining a proactive, continuous learning mindset.