Leidos

Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Senior Software Engineer – Intelligent Platforms, Agents

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 10,001+Since 1969H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

30 days ago

Salary

$107.9K - $195.1K / year

Bachelor Degree8 yrs expEnglishCloudDistributed SystemsMicroservices

Job Description

• 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

Job Requirements

  • Must have and maintain a Secret security clearance
  • 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

Benefits

  • competitive compensation
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement

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