Leidos

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

Principal Software Engineer – AI-Enabled Platforms, Tools

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

Location

Virginia

Posted

40 days ago

Salary

$131.3K - $237.4K / year

Bachelor Degree12 yrs expEnglishCloudDistributed SystemsJavaKubernetesPythonType ScriptGo

Job Description

• Serve as the technical owner for major systems or platforms within an established strategic direction • Define and evolve architectural patterns, design standards, and reference implementations • Lead design reviews and guide teams toward sound technical decisions • Identify and resolve complex technical risks spanning multiple components or teams • Design and implement critical or high-risk components • Review and elevate code quality across teams through deep technical feedback • Prototype and validate new approaches before broader adoption • Ensure systems meet requirements for scalability, reliability, security, and maintainability • Lead the technical design of AI-enabled capabilities using approved models, frameworks, and platforms • Establish patterns for AI integration and orchestration • Evaluation, testing, and validation • Safety, governance, and human-in-the-loop controls • Guide teams in applying AI responsibly within production systems • Act as a technical authority and escalation point across multiple teams • Mentor Senior and mid-level engineers by setting a high technical bar • Influence engineering practices, tooling, and standards through example and guidance • Collaborate with product, security, and platform leaders to align technical solutions with mission needs.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 12+ years of relevant software engineering experience
  • Demonstrated experience leading the design of complex, distributed systems
  • Expert proficiency in two or more modern programming languages (e.g., Python, Java, Go, TypeScript)
  • Deep understanding of: Service-based or microservice architectures
  • Cloud-native systems and deployment models
  • Software quality, security, and operational best practices
  • Deep understanding of Kubernetes and container orchestration: GitOps deployments
  • Service Mesh
  • Role of tools like Helm and Kustomize
  • Proven ability to influence technical direction without formal authority
  • Strong communication skills across technical and non-technical audiences.
  • Must be authorized to work in the U.S.

Benefits

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

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