Software Engineering – Intelligent Platforms (Mid)

Position Overview

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.

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.

This role is ideal for a developer who is excited about treating systems, automation, and knowledge as code—from infrastructure and deployment pipelines to agent behavior, workflows, and even operational or business logic. You enjoy working with AI and LLMs, building agents that reason and act, and expressing complex intent declaratively through version-controlled artifacts that can be tested, reviewed, and evolved over time.

Primary 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 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

Required Skills and Experience

• 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

Preferred Qualifications

• 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)

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.