The Role Build and evolve distributed platforms, microservices, intelligent agents, and AI-enabled services. Lead hands-on software development while defining agent orchestration, Infrastructure as Code, controls-as-code, CI/CD, security, and compliance practices. Partner with systems engineers and security stakeholders, translate mission needs into scalable solutions, establish development standards, mentor engineers, and guide architecture and technical decisions in secure, regulated environments. Summary Generated by Built In 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. Read Full Description Skills Required Bachelor of Science degree 8+ years of professional software engineering experience Experience designing and building complex or distributed systems Strong hands-on experience developing backend services and microservices Experience with AI/ML systems, including production LLM integration 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 Active Secret security clearance that can be maintained Experience building agent-based or autonomous systems in production Familiarity with AI orchestration frameworks and patterns, including tool-using agents and multi-agent systems Experience supporting ATO through automation, documentation, and technical leadership Active Security+ certification or equivalent IAT Level II certification Experience mentoring engineers and leading technical decision-making Experience applying configuration-as-code, policy-as-code, workflows-as-code, or documentation-as-code approaches Leidos Compensation & Benefits Highlights The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Leidos and has not been reviewed or approved by Leidos. About This Summary Healthcare Strength — Healthcare coverage is described as comprehensive, with multiple plan options, low office-visit copays in some plans, and access to mental health and wellness support tools. The availability of HSA/FSA options and employer contributions is positioned as a meaningful part of the total package. Retirement Support — Retirement benefits are framed as a strong component of total rewards, highlighted by a 401(k) match and immediate vesting in the standard package. The Employee Stock Purchase Plan is also presented as an additional long-term wealth-building feature. Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle supports extend beyond core insurance, including wellness programs, fitness-related stipends, and assistance resources. Work flexibility and related perks are also included as part of the broader rewards experience. Learn more about Leidos's Compensation & Benefits → Leidos Insights What's It Like to Work at Leidos? Leidos Culture & Values Leidos Career Growth & Development What's the Work-Life Balance Like at Leidos? Leidos Leadership & Management Leidos Company Growth, Stability & Outlook View all jobs at Leidos View Leidos Profile Report Job