This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced SME Platform Engineer Lead to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.

In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.

This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.

Primary Responsibilities

• Performs MLOPs and Dev Sec Ops engineering operations to include Mission-Driven Design, Static Code Analysis, CI/CD Automation, Security Scanning, Model Scanning, Audit & Compliance, Secure and Post Deployment and Artifact Assurance

• Builds and manages the underlying infrastructure, platforms, and tooling that support application, data, and AI workloads.

• Designs resilient, scalable, and secure environments that optimize resource utilization and performance.

• Streamlines developer workflows by implementing automation, integration pipelines, and platform services that accelerate delivery and maintain operational reliability.

• Identify, prepare, track, secure, and integrate government, commercial and open-source tools and services into the CDAO System.

• Build and foster relationships with industry and academia

• Analyze and review the latest advances in commercial/open-source data, analytic, and AI technologies

• Prepare, and integrate commercial and open-source tools into the CDAO System within a timely manner,

• Assist vendor engineers in preparing and integrating tools to meet Industry, DoW, and CDAO standards.

• Integrate government, commercial, and open-source software, data, and AI tools.

• Manage a team of 8-15 direct reports, providing leadership, mentorship, and performance management.

• Foster a collaborative and high-performance team environment.

• Conduct regular team meetings, performance reviews, and career development discussions.

• Ensure team members have the necessary resources, training, and support to succeed.

• Address and resolve any team conflicts or issues promptly and effectively.

Basic Qualifications

• Advanced: Must either have a Bachelor degree or higher from an accredited college or university OR Valid certification of DoD 8140 (CASP+ or CCNP Security or CCSP)

• Must have an active Top Secret clearance and ability to obtain SCI and CI Poly

• 12+ years of experience as an application developer.

• Demonstrated experience with:

• Architecting and designing software using MBSE approaches (Requirements specification, User Behavior models, Component Design, and requirements traceability)

• Building and/or integrating Custom or COTS software products through MLOPS and Dev Sec Ops automated tools within a cloud-based environment

• Installing, configuring, and managing Data and/or AI related COTS enterprise SW platforms in support of capability builders who develop Data, AI, and SW capabilities

• Engineering and operating data and AI platform tools (for example: Data Bricks, Plantir, Collibra, Tableau) and performing at least 5 out of the following functions: Mission-Driven Design, Static Code Analysis, CI/CD Automation, Security Scanning, Model Scanning, Artifact Assurance, Secure and Post Deployment and Audit and Compliance.

• Experience with Agile software development methodologies and working in a dynamic MLOPS/Dev Sec Ops team

• Experience in leading teams of infrastructure, platform, or system engineers in the development and use of data intelligence capabilities.

• Strong problem-solving, troubleshooting, and analytical skills.

• Proficiency utilizing Atlassian and open source tools such JIRA, Jenkins, Github and Sonar Cube

Preferred Qualifications

• Experience successfully developing, configuring, and / or managing capabilities within the CDAO ecosystem to meet Government requirements and mission needs

• Experience performing all of the following functions: Mission-Driven Design, Static Code Analysis, CI/CD Automation, Security Scanning, Model Scanning, Artifact Assurance, Secure and Post Deployment and Audit and Compliance.

• Experience with configuring and managing GitHub, Atlassian Dev Sec Ops tools and automated CI/CD scripting

• Hands on experience with Databricks or related Data & AI Engineering and Operation platforms

• Understanding of end-to-end decision-making capabilities that are developed through Data & AI COTS SW platforms such as Databricks, Anthropic, Palantir, etc…

• Proficiency utilizing Cameo to build architecture and design MBSE-based artifacts and products

• Degree from an accredited Computer Science, Cyber Security, Information Technology, Software Engineering, Information Systems or Computer Engineering degree or a degree in a Mathematics or Engineering field.

• Active TS/SCI with CI Poly

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:

March 4, 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 $131,300.00 - $237,350.00

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.