DevOps Engineer

Dev Ops Engineer
- Hybrid, Cary, North Carolina

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The Applied AI & Modeling (AAIM) Division seeks a Software Engineer skilled in GPU infrastructure, deployment, and administration to maintain scalable, secure cloud environments for training and deploying computer vision models on large medical imaging datasets.

Join AAIM Engineering to develop and maintain the foundational infrastructure that enables efficient and secure AI delivery, including CI/CD pipelines, telemetry, automated testing, and reliability and compliance frameworks that support scalable and responsible deployment. In this role, you’ll make immediate impact on developer productivity and delivery outcomes by strengthening the Model Ops platform that turns experiments into deployed, observable, scalable model products.

• Maintain GPU‑based infrastructure including optimizing GPU utilization for large‑scale deep learning workflows.
• Support multi‑user, multi‑project GPU workloads. Provide customer support as needed.
• Support deployment of training and inference pipelines in Cloud environments for Secure, compliance‑aware research systems.
• Work closely with data scientists to resolve performance bottlenecks and infrastructure issues.
• Maintain accountability for the entire life cycle of the code including support for both internal and external consumers.
• Ensure quality through functional, unit, and performance testing; work closely with model/agent developers by providing feedback for testing coverage in the CI/CD flow.
• Work with AAIM engineering to research, develop, test and maintain tooling.
• Coordinate with IT, security, and platform stakeholders as needed.
• Ensure all applicable security policies and processes are followed to support the organization’s secure software development goals.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

• Bachelor’s degree in Computer Engineering or equivalent.
• Minimum 5 years of experience in the following:
  • Experience in administration and managing GPU‑enabled Linux systems
  • Experience in Python or other scripting language
  • Experience with Docker and Kubernetes administration
• An equivalent combination of related education, training, and experience may be considered in place of the above qualifications.

• Knowledge of Git Ops, IAS, CICD
• Knowledge of Docker or containerized ML workflows
• Knowledge CUDA enabled systems and GPU scheduling
• Technology Savvy‑ Leveraging one’s practical knowledge and understanding of recent technology tools, solutions, and trends to improve work results, solve work problems, and take advantage of new business opportunities.
• Work Standards‑ Setting high standards of performance for self and others; assuming responsibility and accountability for successfully completing assignments or tasks; self‑imposing standards of excellence rather than having standards imposed.

• Comprehensive medical, prescription, dental and vision plans.
• Medical plan options include:
  • PPO with low annual deductible and copays.
  • HDHP combined with a health savings account with a contribution from SAS (no access to on‑site health care center).
• Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
• An industry‑leading 401k plan.
• Tuition Assistance Program and programs and resources to support your development
• Generous time away including vacation time, a variety of paid holidays, and our much‑loved U.S. Winter Wellness Break between December 25 and January 1.
• Volunteer Time Off, parental leave and unlimited paid sick days.
• Generous childcare benefits for all full‑time employees.

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more:
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