Senior Java Spring Boot Developer

Client: Department of Veterans Affairs

Location: Remote – United States

Salary: $130,000–$140,000 annually, based on experience

Employment Type: Full-Time

Citizenship: U.S. Citizen Required

Keywords: Java, Spring Boot, Spring Batch, Hibernate, Microservices, REST APIs, GraphQL, AWS, AWS RDS, PostgreSQL, MySQL, Docker, Kubernetes, Helm, API Development, API Integration, OAuth, Git, RSpec, GitHub Copilot, Database Optimization, Legacy Modernization, CI/CD, Application Security

Qualified candidates who meet the required technical qualifications are encouraged to submit their résumé for consideration. Please highlight hands-on Java and Spring Boot development, API design and integration, AWS deployments, database optimization, and Kubernetes experience.

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Candidate Verification Notice

For your protection and ours, Fathom Management conducts a brief candidate verification at the beginning of the screening process. Because we support State and Federal Government clients, this verification helps protect your identity, résumé, and application from unauthorized use and confirms that we are speaking directly with the individual who applied for the position.

You may be asked to provide a photo of a government-issued identification document as part of this verification. Video verification may also be required.

Identification is used solely for candidate verification and will be handled in accordance with Fathom Management’s privacy and security practices.

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Position Overview

Fathom Management is seeking an experienced Senior Java Spring Boot Developer to support the design, development, modernization, migration, and ongoing support of scalable Java-based microservices and APIs in a modern cloud environment.

The successful candidate will bring strong hands-on Java development expertise, advanced knowledge of the Spring ecosystem, and experience designing, building, deploying, and maintaining production-grade APIs. This role will play a key part in modernizing legacy monolithic applications, improving database architecture and performance, and delivering reliable, secure, cloud-based services.

The ideal candidate combines deep technical execution with the ability to lead API design, guide modernization efforts, identify performance bottlenecks, and collaborate across development, database, infrastructure, and security teams. Experience deploying and operating containerized workloads in AWS using Docker, Kubernetes, and Helm is essential.

Current Technical Architecture and Development Experience

Candidates should demonstrate current, hands-on experience in several of the following areas:

• Modern Java application development using Spring Boot, Spring Batch, and Hibernate.
• Microservices architecture and migration from legacy monolithic applications.
• REST API design, development, integration, and performance optimization.
• GraphQL API design and implementation.
• AWS cloud deployments, including containerized application workloads and AWS RDS.
• Relational database design, migration, query tuning, indexing, and caching.
• Docker containerization, Kubernetes orchestration, and Helm deployments.
• Secure API development, including OAuth, authentication, authorization, and encryption.
• Automated testing, source control, and modern development workflows.
• AI-assisted development practices, including GitHub Copilot.

Key Responsibilities

As a Senior Java Spring Boot Developer, you will:

• Modernize legacy applications: Plan and execute the migration of monolithic applications into scalable, service-oriented Java microservices while minimizing disruption to live systems.
• Lead API design and development: Define API specifications, endpoints, data models, and integration patterns using REST and, where applicable, GraphQL.
• Develop production-grade software: Write, test, debug, and maintain core Java services while remaining actively involved in the codebase.
• Lead database modernization: Help transition shared databases toward service-specific data layers while preserving data integrity, consistency, and availability.
• Optimize database performance: Identify and resolve bottlenecks through query tuning, indexing, connection pooling, caching, and appropriate migration strategies.
• Deploy and operate cloud workloads: Build and maintain containerized applications on AWS using Docker, K…