Senior Reliability Engineer

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 Reliability 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 improvementhelping 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:

• Develop and implement strategies leveraging FOSS COTS and GOTS technologies to enhance the reliability resiliency and scalability of the platform.
• Conduct lab-based SWIL and HWIL testing to validate system performance and ensure components meet scalability and operational requirements.
• Identify performance bottlenecks analyze usage patterns and recommend improvements to enhance system efficiency and scalability.
• Identify diagnose and address recurring incidents performing root cause analysis and implementing preventative measures.
• Produce and brief comprehensive resiliency and scalability assessments providing insights into system behavior under load failure modes and recovery conditions.
• Translate findings into inputs for SLAs and KPPs to support informed decision-making by leadership.
• Prepare maintain and execute a System Engineering Plan (SEP) for managing all systems architecture and system engineering related aspects of the program.
• Conduct systems engineering activities required to specify build and maintain system engineering designs for the System.
• Design prepare and document systems engineering and cybersecurity artifacts for the System.
• Support the Government in recommending and conducting enterprise system architecture activities.
• Define document maintain and promulgate APIs and technical standards for using and interoperating within and outside the System.
• 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 into the System.
• Design architect engineer and continuously improve the UI and UX components of the Platform.
• Perform site reliability engineering to build and maintain a reliable scalable and efficient System by applying software engineering principles to operational tasks.

Basic Qualifications:

• Active Top Secret (TS) clearance with SCI eligibility.
• Bachelors degree in Computer Science Engineering Information Systems or related technical discipline and 812 years of relevant experience OR Masters degree in a related field and 610 years of relevant experience.
• Experience engineering and supporting enterprise cloud environments (AWS Azure or GCP).
• Experience implementing monitoring observability and performance management solutions.
• Experience conducting root cause analysis and implementing systemic reliability improvements.
• Experience integrating reliability engineering practices into DevSecOps pipelines.
• Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems.
• Experience with FOSS COTS and GOTS technologies.
• Proven experience in conducting SWIL and HWIL testing.
• Strong understanding of system performance analysis and optimization.
• Experience in root cause analysis and implementing preventative measures.
• Ability to produce and brief comprehensive technical assessments.
• Experience in preparing and maintaining System Engineering Plans (SEP).
• Strong documentation and communication skills.

Preferred Qualifications:

• Active TS/SCI clearance.
• Experience with DoD systems and environments.
• Familiarity with NIST security controls and Zero Trust compliance.
• Experience in defining and tracking KPIs and SLOs.
• Knowledge of AI/ML model serving and deployment.
• Experience in participating in Engineering Control Board (ECB) processes.
• Familiarity with cloud environments and DevSecOps practices.
• SAFe Agilist (SA) or related SAFe certification.
• Experience supporting multi-enclave DoD cloud environments.
• Experience implementing automated failover redundancy and capacity management solutions.
• Experience supporting enterprise-scale data analytics or AI platforms.
• Experience implementing Zero Trust-aligned resiliency patterns.
• Relevant cloud certification (AWS Azure or GCP).

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.