Senior Mlops Platform Engineer

CACI

Base: $82,100-$172,400; bonus/equity: not specifie...
Hybrid
Kubernetes cluster provisioning and management
Aws services including eks and sagemaker
Ci/cd pipeline development with gitlab ci
CACI is seeking a Senior MLOps Platform Engineer to join their AI Center of Excellence, focusing on building an MLOps foundation for Agentic AI products. The ideal candidate will have extensive experience in managing production-grade software infrastructure in hybrid environments, particularly with Kubernetes and AWS

Job Summary

  • Our AI Center of Excellence builds next generation Agentic AI products that autonomously reason, plan, and act on behalf of customers.
  • The role involves shaping the end-to-end lifecycle of AI services from model training to production inference and influencing hybrid cloud architecture decisions.
  • Employees enjoy a culture of integrity, autonomy with flexible time off, continuous growth opportunities, and comprehensive benefits including healthcare and retirement.

Matching Summary

Match Score: 85

CACI is seeking a Senior MLOps Platform Engineer to join their AI Center of Excellence, focusing on building an MLOps foundation for Agentic AI products. The ideal candidate will have extensive experience in managing production-grade software infrastructure in hybrid environments, particularly with Kubernetes and AWS.

Salary

Base: $82,100-$172,400; Bonus/Equity: Not specified; Benefits: Healthcare, wellness, financial, retirement, family support, continuing education, time off

Skills & Requirements

Must-have

  • Kubernetes cluster provisioning and management
  • AWS services including EKS and SageMaker
  • CI/CD pipeline development with GitLab CI
  • Observability with Prometheus and Grafana
  • Hybrid cloud infrastructure operation
  • Python and compiled language software engineering
  • Data pipeline architecture and management

Nice-to-have

  • Scrum and Agile software development
  • Mentoring and knowledge sharing
  • Strong engineering culture focused on automation
  • Collaboration with research and product teams
  • Security best practices and disaster recovery

Key Requirements

  • Must be a U.S. Citizen
  • BS in computer science or related field
  • 5+ years experience in production software infrastructure
  • Expertise in Kubernetes and container runtimes
  • Hands-on AWS experience with EKS, SageMaker, S3, IAM
  • Proficiency in Python and at least one compiled language
  • Experience with CI/CD and GitOps tooling
  • Strong understanding of distributed systems
  • Experience with data engineering frameworks

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter