Senior Full Stack Developer

Company: Anika Systems

Location: Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-15

About this role

Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve complex business challenges and prepare for the future. Our services span Artificial Intelligence, Intelligent Automation, Data Science, Digital Transformation, and Cloud, with a specialized focus on National Security, Federal Financials and Federal Civilian agencies. We are dedicated to delivering innovative solutions that support the critical missions of our government clients.

This opportunity is 100% remote.

We are looking for a Senior Full-Stack Developer to join our fast-paced enterprise engineering team. In this senior-level role, you will champion legacy modernization initiatives, systematically breaking down monolithic architectures, legacy databases, and older web frameworks into high-transaction web interfaces and scalable, modern backend solutions across dynamic hybrid infrastructure setups (On-Premises OpenShift & AWS Cloud).
The ideal candidate thrives in aggressive, high-velocity delivery environments, possesses a proven track record of migrating legacy enterprise systems, values proactive team leadership, and actively leverages modern AI-assisted engineering tools to accelerate software development lifecycles without sacrificing code quality.

Candidates must be a U.S. Citizen with an active Department of Treasury MBI.

Core Responsibilities

  • Legacy Modernization: Analyze, decouple, and migrate legacy enterprise systems (monoliths, older Java frameworks, complex store procedures) into a clean, decoupled microservices or modular architecture.
  • Front-End Architecture: Design and optimize highly responsive web UIs using React, transforming legacy server-rendered views or desktop applications into sleek interfaces while managing complex client-side caching via Redux.
  • Back-End Engineering: Build secure, high-throughput RESTful services using Java and Spring Boot, while implementing automated, high-volume bulk data pipelines ...

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