Leidos · 17 hours ago
Software Engineering – Intelligent Platforms, Mid
United States
Full-time
Remote
Mid Level
$87K/yr - $157K/yr
4+ years expLeidos is advancing mission-critical platforms that simulate and interact with complex environments. As a mid-level Software Engineer, you will build backend services, intelligent agents, and automation workflows, collaborating with a multi-disciplinary team to deliver AI-enabled solutions.
National DefenseGovernmentElectronicsSoftwareInformation TechnologyComputerInformation ServicesNational Security
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, develop, and maintain backend services and microservices that support intelligent, agent-based platforms
Build and integrate autonomous or semi-autonomous agents that interact with technical and business systems
Develop AI-enabled workflows leveraging LLMs for decision support, automation, analysis, and system interaction
Implement APIs and orchestration logic that enable agents and services to collaborate effectively
Implement and maintain Infrastructure as Code (IaC) to provision and manage cloud environments
Collaborate with systems engineers and ISSEs to translate requirements and security controls into code
Contribute to GitHub-based development workflows, including pull requests, code reviews, and documentation
Support CI/CD pipelines and secure deployments aligned with ATO requirements
Produce clear technical documentation covering code, agent behavior, and system interactions
Contribute to an 'everything as code' approach, expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code
Qualification
Required
Must have and maintain a Secret security clearance
BS degree and 4+ years of professional software development experience
Proficiency in at least one modern programming language (Python preferred; Java or Go acceptable)
Experience building backend services, APIs, or microservices
Exposure to AI/ML systems, LLMs, or intelligent automation (through professional work or applied projects)
Familiarity with Infrastructure as Code concepts and tooling
Experience working in GitHub with collaborative development practices
Ability to operate effectively in environments with evolving or ambiguous requirements
Preferred
Experience building or orchestrating agents, workflows, or autonomous systems
Familiarity with LLM integration patterns (prompting, tools/functions, retrieval, etc.)
Experience with containerization and orchestration technologies (Docker, Kubernetes)
Familiarity with cloud platforms (AWS GovCloud preferred)
Experience developing AI-enabled systems in regulated or secure environments
Experience applying 'as code' approaches beyond infrastructure (e.g., configuration-as-code, policy-as-code, workflows-as-code, documentation-as-code)
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
Leadership Team
James Carlini
Chief Technology Officer
Theodore Tanner
Chief Technology Officer
Recent News
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2025-12-16
2025-12-16
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