Note: The job is a remote job and is open to candidates in USA. Peraton is a national security and enterprise IT company that delivers mission-critical solutions and technologies for government and defense customers. The Full Stack Engineer will provide software development expertise across the software development lifecycle, building AI-enabled, cloud-based, web applications and integrations while supporting testing, deployment, quality assurance, and cross-functional delivery.
Responsibilities
- Provide software/Java development expertise in an environment that covers the entire Software Development Lifecycle using current methodologies to include Continuous Deployment, Agile, and Development Operations (DevOps)
- Designs, develops, documents, tests and debugs applications software
- Develop and implement user interfaces for web applications using ReactJS
- Build and develop XML Samples and appropriate XSD based on requirements and an understanding of the various standards for design and data analysis and exchange
- Work on UX/UI designs to translate concepts into functional components
- Conducts multidisciplinary research and collaborates with cross-functional engineering and development teams in the planning, design, development, and utilization of Cloud-based capabilities for the development, modification, and deployment of commercial-of-the-shelf (COTS) software
- Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints
- Confers with systems analysts, engineers, and cross-functional teams to design software and to obtain information on project limitations and capabilities, performance requirements and interfaces
- Designs, develops and modifies software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design
- Coordinates software testing and deployment to ensure specifications are met
- Assist the Scrum Master and Scrum Team in providing technical expertise in executing contract deliverables
- Provide support to the Chief Enterprise Architect, Release Train Engineer, Senior Leadership and the client with regards to software development best practices
- Support Quality Assurance and Quality Control verification within all applicable phases of software development to assure all actions are completed in accordance with appropriate policy, standards and procedures
- Collaborate with government Product Owners, cross-functional teams, and client vendors to support rapid integration and interoperability of software
- Ensure the quality of all services and deliverables across the contract
- Ensure high customer satisfaction and compliance with all government and corporate policies
Skills
- Education: Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D
- Clearance: active secret clearance
- Hands-on experience building with AI agents — multi-step reasoning, tool use, RAG pipelines, or autonomous task execution — and integrating LLMs into production or near-production applications
- Demonstrated experience designing and building integrations to external sources of information — public APIs, licensed data feeds, partner systems, customer enterprise systems, web content, document repositories, or structured databases
- Demonstrated experience packaging external capabilities as agent tools or skills with clean interfaces, predictable inputs and outputs, sound error handling, and documentation that AI agents and the humans configuring them can rely on
- Strong Python skills (3.12+); comfort with async/await patterns, type hints, and modern Python tooling
- Comfort working across the stack: FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL
- Experience building and consuming web APIs (REST, GraphQL, or comparable) and handling the integration concerns that make external data trustworthy in production — authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and caching
- Experience with workflow or task orchestration systems (Airflow, Prefect, Celery, or similar distributed execution frameworks) or comparable agent orchestration patterns
- Familiarity with agentic frameworks and an understanding of the underlying concepts (chains, tool calling, agent loops) that transfer across tools
- Experience working with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or similar)
- Solid grounding in the security concerns specific to agentic and external integration work — secrets management, OAuth and API-key handling, rate-limit etiquette, defensive parsing, and prompt-injection awareness
- A product mindset: you think about the end user, not just the technical implementation
- Comfort operating with some ambiguity in a fast-moving environment
Benefits
- Ability to be remote
- Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay
Company Overview