Candidates must be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed.
Responsibilities- Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code
- Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments
- Build and optimize CI/CD pipelines for complex microservices and architectures
- Develop and maintain full-stack applications while ensuring operational excellence and reliability
- Implement monitoring, logging, and alerting solutions for production systems
- Drive security-first infrastructure design and implementation
- Mentor team members on DevOps best practices and cloud-native technologies
Requirements- TS/SCI CI Poly Clearance with Customer eligibility and SBU/SecNet/COE accounts
- Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experienced in professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- 3+ years of machine learning/statistical modeling data analysis tools and techniques
Preferred Qualifications- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-drive business decisions
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
- Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks
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