Onsite
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 Senior Infrastructure 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:
Design, integrate, and maintain network, cloud, hardware, and operating system infrastructure for the platform.
Test and integrate COTS, GOTS, and FOSS components to ensure system reliability and performance.
Manage data-pipeline resource needs, access controls, and capacity planning.
Develop and implement performance metrics, instrumentation, and monitoring tools.
Ensure system stability, availability, and scalability across all environments.
Prepare, maintain, and execute a System Engineering Plan (SEP) for managing all systems architecture and engineering aspects.
Conduct systems engineering activities to specify, build, and maintain system engineering designs.
Design, prepare, and document systems engineering and cybersecurity artifacts.
Establish and maintain a System Requirements management environment and process.
Support enterprise system architecture activities and maintain system architecture artifacts.
Define, document, maintain, and promulgate APIs and technical standards.
Design, engineer, integrate, and continuously improve the underlying infrastructure of the System.
Identify, prepare, track, secure, and integrate government, commercial, and open-source tools and services.
Design, architect, engineer, and continuously improve the user interface (UI) and user experience (UX).
Design, build, and maintain services and products to make production-ready AI/ML models accessible.
Design, architect, engineer, and continuously improve all aspects of cybersecurity elements of the System.
Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System.
Participate in the Engineering Control Board (ECB) process for supporting all major engineering milestones and decisions.
Basic Qualifications:
Active Top Secret (TS) clearance with SCI eligibility.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical discipline and 8 years of relevant experience OR Master’s degree in a related field and 6 years of relevant experience.
At least one of the following foundational qualification pathways consistent with DoD 8140 requirements:
Current DoD 8570/8140 baseline certification appropriate for Intermediate System Administrator roles (e.g., Cloud+, GICSP, GSEC, or SSCP),
Offerings listed in the DoD 8140 Training Repository,
Demonstrated equivalent training and experience qualifying under DoD 8140 foundational qualification alternatives.
Minimum of 10 years of experience in infrastructure engineering or related field.
Experience with network, cloud, hardware, and operating system infrastructure.
Experience with COTS, GOTS, and FOSS components.
Experience with performance metrics, instrumentation, and monitoring tools.
Experience with systems engineering and cybersecurity artifacts.
Experience supporting RMF compliance, STIG implementation, and cybersecurity monitoring.
Experience with System Requirements management.
Experience with enterprise system architecture activities.
Experience with APIs and technical standards.
Experience with site reliability engineering.
Preferred Qualifications:
Active TS/SCI clearance with CI Poly.
SAFe Agilist (SA) or related SAFe certification.
Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems.
Experience with DevSecOps/Factory functions.
Experience supporting infrastructure across NIPRNet, SIPRNet, and JWICS environments.
Experience engineering and administering enterprise infrastructure in DoD or Federal environments.
Experience implementing Zero Trust infrastructure patterns and identity-aware networking.
Experience supporting enterprise-scale data, analytics, or AI platforms.
Experience implementing Infrastructure-as-Code (IaC) and automation frameworks.
Experience with AI/ML model serving and integration.
Experience with cloud-based data, analytics, and AI capabilities.
Experience with cloud platforms (AWS, Azure, or GCP) and hybrid infrastructure architectures.
Advanced cloud or infrastructure certification (e.g., AWS Solutions Architect, Azure Administrator, or equivalent).
Experience with Service Level Agreements (SLAs) and key performance indicators (KPIs).
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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.
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.
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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