Software Engineering - Intelligent Platforms (Mid)

As a mid-level Software Engineer, you will be a hands-on contributor building backend services, intelligent agents, and automation workflows that power these platforms. You will work within a multi-disciplinary team of software engineers, systems engineers, ISSEs, and security professionals, collaborating in GitLab to deliver secure, scalable, and compliant AI-enabled solutions., * 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 Git-based development workflows, including pull/merge 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

• 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 GitLab and/or GitHub with collaborative development practices
• Ability to operate effectively in environments with evolving or ambiguous requirements
• Must have and maintain a Secret security clearance, * Active Security+ certification or equivalent IAT Level II certification
• 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)

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

At Leidos, we are advancing mission-critical platforms that simulate, interact with, and act on complex technical and business environments. These platforms leverage agent-based architectures, automation, and AI-driven capabilities to enable intent-driven interaction with systems such as network operations and enterprise processes., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .