Description
Leidos has an exciting opportunity for a Principal DevOps Software Engineer in the
National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At
Leidos, we offer
competitive benefits http://www.leidos.com/careers/pay-benefits, including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.
Join us and make a difference in National Security! Leidos is seeking a seasoned Principal DevOps Engineer to join our dynamic team. This role demands a strategic thinker with a proven track record in designing and maintaining complex DevOps pipelines. As a Principal DevOps Engineer, you will be at the forefront of optimizing our software delivery processes, managing Kubernetes clusters, and ensuring seamless integration and deployment across our projects. Your expertise in GPU configuration, automated testing, and cross-functional collaboration will be critical in driving our technological advancements and delivering high-quality software solutions.
In addition to technical proficiency, the ideal candidate will possess strong analytical and problem-solving abilities, excellent communication and collaboration skills, and a commitment to continuous learning and improvement.
Primary Responsibilities:
DevOps Pipelines: Design, implement, and maintain DevOps pipelines for C++ or Python applications, utilizing Kubernetes (K8s) deployment and administration, Helm chart creation, and pod definition.
Kubernetes Administration: Manage and configure Kubernetes clusters, ensuring high availability, scalability, and security.
Debugging and Defect Correction: Identify, debug, and correct defects in existing software, utilizing effective troubleshooting techniques to resolve issues efficiently.
GPU Configuration and Support: Configure and optimize GPU resources for performance-critical applications, utilizing CUDA or other relevant technologies.
Automated Testing and Deployment: Implement automated testing and deployment scripts, utilizing tools such as Jenkins or GitLab CI/CD.
Collaboration: Work closely with cross-functional teams, including system architects and project managers, to ensure software meets user requirements and is delivered on schedule.
Documentation: Maintain comprehensive documentation for software designs, processes, and interfaces to facilitate knowledge sharing and project continuity.
Basic Qualifications
Bachelors Degree in Computer Engineering, Electrical Engineering, or Computer Science and 20 or more years of directly related experience. In lieu of bachelors degree an additional 4 years of experience will be considered on a case by case basis.
- Experience with GPU/CUDA development for performance-critical applications.
Familiarity with message queue implementation and communication protocols.
Knowledge of Linux system programming and development environments.
Understanding of RF signals analysis or satellite communications system design and theory.
Clearance Required: Must have an active TS/SCI with Polygraph
At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today!
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Original Posting:
March 6, 2025
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 $148,850.00 - $269,075.00
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.
