AI Infrastructure Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Infrastructure Engineer (AI): Use AI tools to analyze data migration, design flexible data architectures, and optimize database performance with an accent on automated deployment, self-healing systems, and proactive reliability. Focus on building CI/CD pipelines, Kubernetes orchestration, intelligent integrations, and AI-powered observability to ensure mission-critical system reliability.
Location: U.S. citizenship required. Department of Defense Secret security clearance required at time of hire. Work performed within facilities subject to U.S. Government security investigation.
Salary: USD $157,487 - $174,713 / Yr.
Company
engineers high technology solutions for defense and scientific missions with a global team of 12,000+ professionals.
What you will do
- Use AI tools to analyze, map, and automate data migration from legacy workflows and systems.
- Design modern data architectures and leverage AI for data quality detection, validation, and database optimization.
- Build automated CI/CD pipelines with AI-powered testing, Kubernetes deployments, and self-healing infrastructure.
- Automate operational tasks, integrations with enterprise systems, and generate documentation using AI.
- Implement AI-powered observability, predict failures, establish SLOs, and engineer preventative reliability measures.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or related field plus 5+ years experience; or Master's plus 3+ years
- Expertise with relational databases (Oracle, PostgreSQL, MySQL).
- Hands-on with Kubernetes deployment and management.
- Experience building CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
- AWS RDS or similar cloud-managed databases; cloud Kubernetes (EKS, AKS).
- U.S. citizenship and DoD Secret clearance required at hire.
Nice to have
- Data migration from legacy systems.
- Infrastructure-as-code (Terraform, Ansible).
- Container technologies (Docker, Helm).
- Cloud platforms (AWS, Azure, GCP).
- Monitoring tools (Prometheus, Grafana, ELK).
- Python scripting, SRE principles, DoD experience, AI opportunities.
Culture & Benefits
- Flexible work environment with recognized contributions.
- Highly competitive benefits and shared sense of purpose.
- Leadership support to clear roadblocks.
- Build from scratch with cutting-edge tools and modern tech stack.
- High impact on mission-critical systems.
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