Software Developer - Mid

Software Developer – Intel Security Sector

Location:

Bethesda, MD;
Reston, VA; or Joint Base Anacostia‑Bolling, DC.

• Work closely with a tight‑knit team of software developers, data scientists, network engineers, senior investigators, program managers, researchers, and data analysts to create and maintain mission applications.
• Develop, test, and maintain OSINT mission application‑level software including backend services, APIs, and user‑facing components.
• Establish and maintain development, test, integration, staging, and production environments for the system.
• Implement features and enhancements using modern programming languages such as Java, Python, JavaScript, or similar.
• Build and integrate APIs and microservices to support platform and application functionality.
• Collaborate with cross‑functional teams to develop features, fix defects, and improve system performance.
• Contribute to development of front‑end and back‑end components for enterprise applications.
• Integrate software into Dev Sec Ops  pipelines for automated build, testing, and deployment.
• Prepare, maintain, and execute a System Test Plan (STP) based on CI/CD and Dev Sec Ops  principles.
• Prepare, maintain, and execute a Software Engineering Plan (SWP) for managing all aspects of the software lifecycle.
• Implement and maintain source code, Infrastructure‑as‑Code (IaC), and Configuration‑as‑Code (CaC).
• Conduct configuration management operations to control, identify, record, and report IT components and relationships.
• Perform debugging, troubleshooting, and resolution of application defects and performance issues.
• Ensure adherence to secure coding practices and support remediation of vulnerabilities.
• Plan, design, and implement software testing tools, processes, and procedures.
• Support software testing including unit, integration, and user acceptance testing.
• Deliver and maintain all software artifacts on government‑owned software repositories.
• Translate systems engineering and reference architecture designs into software designs.
• Participate in code reviews and contribute to development standards and best practices.
• Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives.

• Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
• US citizenship required.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline + 4 years of experience, or 3 years with equivalent level of experience.
• Experience developing enterprise software solutions using modern programming languages such as Java, Python, Go, C++, or similar.
• Proficiency in Java, Python, or C++.
• Experience building and integrating RESTful APIs and microservices architectures.
• Experience integrating software into CI/CD pipelines and Dev Sec Ops  environments (e.g., Git Lab, Jenkins).
• Experience with Infrastructure‑as‑Code (IaC) and Configuration‑as‑Code (CaC).
• Experience operating within SAFe or Agile frameworks supporting enterprise systems.
• Excellent communication and teamwork abilities.
• Strong problem‑solving and analytical skills.

• 8 years of experience in the field with at least a portion of the experience within the last 2 years.
• Significant share of data analytics experience directly supporting military or intelligence community customers, demonstrating progressive technical development and mission‑focused outcomes.
• Experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics.
• Knowledge of DoD Security Technical Implementation Guides (STIGs) and container hardening standards.
• Experience supporting software development across multi‑enclave DoD environments.
• Experience with cloud‑native development in AWS Gov Cloud, C2S, SC2S, Azure, or GCP.
• Experience contributing to enterprise‑level architecture design decisions.
• Experience with containerization technologies (Docker, Kubernetes).
• Experience integrating with data platforms, AI/ML services, or…