Platform Engineer

Leidos

Platform Engineer supporting delivery and enhancement of enterprise data and analytics products at Leidos. Collaborating with government partners and engineering teams for national security outcomes.

Posted 6/23/2026full-timeAlexandria • Virginia • 🇺🇸 United StatesSeniorLead💰 $107,900 - $195,050 per yearWebsite

Tech Stack

Tools & technologies

CloudJenkinsOpen SourceTableau

About the role

Key responsibilities & impact

Performs MLOPs and DevSecOps 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.

Requirements

What you’ll need

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
8 + 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 DevSecOps 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: DataBricks, 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/DevSecOps team
Strong problem-solving, troubleshooting, and analytical skills.
Proficiency utilizing Atlassian and open source tools such JIRA, Jenkins, Github and SonarCube

Benefits

Comp & perks

competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

MLOpsDevSecOpsCI/CD AutomationStatic Code AnalysisSecurity ScanningModel ScanningAudit & ComplianceData EngineeringAI EngineeringSoftware Architecture

Soft Skills

problem-solvingtroubleshootinganalytical skillsrelationship buildingcommunication

Certifications

Bachelor's degreeDoD 8140CASP+CCNP SecurityCCSP