Job description

Position Overview At Leidos, we are advancing mission-critical platforms that simulate, interact with, and act on complex technical and business environments. These platforms enable teams to engage with network operations, automate business processes, and gain insight through intent-driven and agent-based systems. The team operates with a strong belief in “everything as code,” using version-controlled artifacts and automation to manage not only infrastructure and software, but also agent behavior, workflows, documentation, and compliance-related controls. The Senior Software Engineer / Technical Lead is a hands-on technical leader responsible for building and evolving platforms that simulate complex systems, automate operations, and enable AI- and agent-driven interaction with technical and business environments. This role combines deep individual contribution with technical leadership. You will actively write code, build agents, and design AI-enabled services while also guiding architecture, mentoring engineers, and ensuring that software, infrastructure, systems engineering, and security are integrated into a cohesive, compliant development lifecycle. Primary Responsibilities Design, develop, and maintain distributed systems and microservices (hands-on coding role) Build, integrate, and evolve intelligent agents and AI-enabled services using LLMs and automation frameworks Define and implement patterns for agent orchestration, system interaction, and decision workflows Drive adoption of Infrastructure as Code, automation, and “controls-as-code” practices Partner closely with systems engineers and ISSEs to embed requirements and security into platform design and code Establish development standards for GitHub-based collaboration, testing, and documentation Mentor mid-level engineers through code reviews, pairing, and technical guidance Lead integration of CI/CD pipelines, security tooling, and ATO considerations into everyday development Collaborate with stakeholders to translate mission and operational needs into scalable technical solutions Contribute to an “everything as code” approach , expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code Define and promote patterns for expressing intent, requirements, automation, and controls as code , enabling consistency, traceability, and automation across the development lifecycle Required Skills and Experience BS degree and 8 years of professional software engineering experience Demonstrated experience designing and building complex or distributed systems Strong hands-on experience developing backend services and microservices Experience working with AI/ML systems, including LLM integration in production environments Strong background in cloud-native architectures and Infrastructure as Code Experience delivering software in secure, regulated, or compliance-driven environments Ability to bridge software development, systems engineering, and security disciplines Strong technical communication and leadership skills Must have and maintain a Secret security clearance Preferred Qualifications Experience building agent-based or autonomous systems in production Familiarity with AI orchestration frameworks and patterns (e.g., tool-using agents, multi-agent systems) Experience supporting ATO through automation, documentation, and technical leadership Active Security certification or equivalent IAT Level II certification Background mentoring engineers and leading technical decision-making Passion for applying AI and automation to real-world operational challenges 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. Original Posting: October 22, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 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.

Requirements

Must-haves

Primary Responsibilities Design, develop, and maintain distributed systems and microservices (hands-on coding role)
Build, integrate, and evolve intelligent agents and AI-enabled services using LLMs and automation frameworks
Define and implement patterns for agent orchestration, system interaction, and decision workflows
Drive adoption of Infrastructure as Code, automation, and “controls-as-code” practices
Partner closely with systems engineers and ISSEs to embed requirements and security into platform design and code
Establish development standards for GitHub-based collaboration, testing, and documentation
Mentor mid-level engineers through code reviews, pairing, and technical guidance
Lead integration of CI/CD pipelines, security tooling, and ATO considerations into everyday development
Collaborate with stakeholders to translate mission and operational needs into scalable technical solutions
Contribute to an “everything as code” approach , expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code
Define and promote patterns for expressing intent, requirements, automation, and controls as code , enabling consistency, traceability, and automation across the development lifecycle
Required Skills and Experience BS degree and 8 years of professional software engineering experience
Demonstrated experience designing and building complex or distributed systems
Strong hands-on experience developing backend services and microservices
Experience working with AI/ML systems, including LLM integration in production environments
Strong background in cloud-native architectures and Infrastructure as Code
Experience delivering software in secure, regulated, or compliance-driven environments
Ability to bridge software development, systems engineering, and security disciplines
Strong technical communication and leadership skills
Must have and maintain a Secret security clearance
Familiarity with AI orchestration frameworks and patterns (e.g., tool-using agents, multi-agent systems)
Experience supporting ATO through automation, documentation, and technical leadership
Active Security certification or equivalent IAT Level II certification

Nice-to-haves

Preferred Qualifications Experience building agent-based or autonomous systems in production

Application prep

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Keywords to mirror

aici/cdmlllm

Platform: workday
Effort: long