​​Platform Engineer​ job opportunity at Leidos.

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DatePosted 2 Days Ago bot
Leidos ​​Platform Engineer​
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Pattern: full-time
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degreeBachelor's (B.A.)
loacation Alexandria, VA, United States Of America
loacation Alexandria, VA....United States Of America

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 Platform Engineer 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:   P erform s   MLOPs and   DevSecOps   engineering   operations to include Mission-Driven Design, Static Code Analysi s ,   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.   I dentify , prepare, track, secure, and integrate government, commercial and open-source   tools   and services into the   CDAO   System.    B uild and foster relationships with industry and academia   A nalyze and review the latest advances in commercial/open-source data, analytic, and AI technologies   P repare, 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.   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:   A rchitecting   and designing software using MBSE approaches   ( Requirements specification, User Behavior models,   Component   Design, and   requirements   traceability )   B uilding   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 Preferred Qualifications: Experience successfully developing, configuring, and / or managing capabilities within the CDAO ecosystem to meet Government requirements and mission needs   Experience   p erforming   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   DevSecOps   tools   and   automated CI/CD scripting   Hands on experience with   Databricks or related Data   & AI   Engineering and Operation platform s   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 a n accredited Computer Science,   C yber   Security, Information Technology, Software Engineering, Information Systems or Computer Engineering degree or a degree in a Mathematics or Engineering field.   Active   T S/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 5, 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.

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