Software Engineering – Intelligent Platforms (Mid)
About The Position
At Leidos, this mid-level Software Engineer will help advance mission-critical platforms that simulate, interact with, and act on complex technical and business environments. The platforms use agent-based architectures, automation, and AI-driven capabilities to enable intent-driven interaction with systems such as network operations and enterprise processes. The engineer will be a hands-on contributor building backend services, intelligent agents, and automation workflows. Working with software engineers, systems engineers, ISSEs, and security professionals in GitLab, the role contributes to secure, scalable, compliant AI-enabled solutions. The position emphasizes treating systems, automation, and knowledge as code, including infrastructure, deployment pipelines, agent behavior, workflows, and operational or business logic. The job requisition requires a Secret security clearance and a BS degree with at least four years of professional software development experience.
Requirements
- BS degree and at least 4 years of professional software development experience.
- Proficiency in at least one modern programming language; Python is preferred, while Java or Go are 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 with GitLab and/or GitHub and collaborative development practices.
- Ability to work effectively with evolving or ambiguous requirements.
- Must have and maintain a Secret security clearance.
Nice To Haves
- Active Security+ certification or equivalent IAT Level II certification.
- Experience building or orchestrating agents, workflows, or autonomous systems.
- Familiarity with LLM integration patterns, including prompting, tools/functions, and retrieval.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity with cloud platforms; AWS GovCloud is preferred.
- Experience developing AI-enabled systems in regulated or secure environments.
- Experience applying “as code” approaches beyond infrastructure, such as configuration-as-code, policy-as-code, workflows-as-code, or documentation-as-code.
Responsibilities
- Design, develop, and maintain backend services and microservices supporting 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.
- 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 technical documentation covering code, agent behavior, and system interactions.
- Contribute to an “everything as code” approach by expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
