Lead, Software Engineer

Job Title: Lead, Software Engineer

Job Code: 46070

Job Location: Chantilly, VA, Melbourne, FL or Rochester, NY

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job Description:

L3Harris Technologies is seeking a Senior DevSecOps Engineer to help modernize and scale secure software delivery for mission-focused programs within the Space Systems sector. This role partners with software, cybersecurity, infrastructure, and program teams to build reliable engineering platforms, automate secure delivery pipelines, and improve developer productivity across hybrid cloud and on-premises environments.

The ideal candidate brings hands-on DevSecOps experience, a continuous improvement mindset, and the ability to apply practical modern technologies such as infrastructure as code, container platforms, automated security controls, observability tooling, and AI-assisted engineering workflows where they add measurable value.

Essential Functions:

• Design, implement, and improve DevSecOps pipelines that support build, test, security, release, and deployment activities.
• Help standardize and automate the software development lifecycle across development, integration, and production-like environments.
• Support cloud and on-premises platform operations, including deployment automation, troubleshooting, patching, and reliability improvements.
• Integrate security into delivery workflows through automated scanning, policy checks, secrets handling, and secure-by-default engineering practices.
• Work with development teams to improve build stability, release quality, deployment consistency, and feedback cycles.
• Contribute to infrastructure as code, configuration management, and repeatable environment provisioning.
• Implement logging, monitoring, and operational visibility solutions that improve system health, diagnostics, and incident response.
• Evaluate and apply practical new technologies, including AI-assisted automation, to reduce manual effort and improve team efficiency.
• Design, implement, and improve existing AI services, APIs, and workflow components that support AI-assisted remediation and engineering automation.
• Develop and mature agentic workflows that combine LLM reasoning, tool use, enterprise integrations, and policy guardrails to solve practical engineering and security use cases.
• Design prompt, tool, and workflow patterns that improve reliability, traceability, auditability, and safe execution of AI-assisted actions.
• Implement secure-by-default service patterns, including input validation, access control, secrets handling, structured logging, and least-privilege integration behavior.
• Work with software, cyber, infrastructure, and program teams to translate mission needs into practical AI-enabled engineering capabilities.
• Improve testing, evaluation, observability, and runtime diagnostics for existing AI service workflows, tool interactions, and model-assisted outputs.
• Mentor peers and help promote a collaborative DevSecOps culture focused on quality, security, and continuous improvement.

Qualifications:

• Active TS/SCI clearance with CI Polygraph.
• Bachelor’s Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
• Experience supporting CI/CD, build, release, test automation, platform engineering, systems engineering, or DevOps functions in a software environment.
• Experience with one or more scripting or programming languages such as Python, Bash, PowerShell, Java, or similar technologies.
• Experience with one or more source control and CI/CD platforms such as GitLab, Jenkins, GitHub, Bitbucket, Azure DevOps, Bamboo, or similar tools.
• Experience with Linux administration and/or cloud-hosted environments.
• Experience with at least one modern automation approach such as infrastructure as code, configuration management, containerization, or orchestration.
• Experience troubleshooting technical issues and collaborating across software, infrastructure, operations, and security teams.
• Experience with AI-enabled automation, AI-assisted software delivery, ML platform support, or integrating AI/ML services into engineering workflows.

Preferred Additional Skills:

• Experience with MCP-based integrations, agent frameworks, orchestration patterns, or AI tool-execution systems.
• Experience with application or supply-chain security practices such as SAST, SCA, container scanning, SBOM generation, secrets management, or policy-as-code.
• Experience with container and platform technologies such as Docker, Kubernetes, OpenShift, AWS, GovCloud, or similar environments.
• Experience with observability, telemetry, or evaluation pipelines for AI-enabled systems.
• Experience with infrastructure as code or automation approaches such as Terraform, Ansible, Helm, or similar technologies.
• Experience working in Agile or Scrum environments and collaborating across software, cyber, operations, and infrastructure teams.
• Experience supporting classified, regulated, or mission-critical environments.

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $135,000 - $255,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $117,000 - $218,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements

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