Principal AI/ML DevOps Engineer

About the role

Lead the design and operation of cloud infrastructure and platform services that support application development and AI workloads. The focus is on automation, data platforms and cloud-native practice.

What you will do

• Design and run cloud-native infrastructure on AWS, delivered through GitLab CI/CD pipelines
• Operate Kubernetes platforms on Amazon EKS with attention to scale, security and uptime
• Automate ETL workflows and data pipelines that serve analytics and AI workloads
• Support MLOps, AIOps and FinOps capabilities, including model deployment pipelines
• Diagnose Linux system issues, tune platform performance and enforce sound operational practice

What they look for

• At least five years in platform, DevOps or cloud engineering
• Practical command of AWS, Amazon EKS, Linux and GitLab CI/CD
• Solid SQL skills plus ETL automation and scalable data pipeline work
• Prior work implementing or supporting AI, MLOps or AIOps platforms
• Scripting and automation ability centred on cloud-native tooling
• US citizenship is required for this position

Nice to have

• Python, Bash or Go for automation and platform work
• Container security, Kubernetes networking and observability tooling
• Monitoring platforms such as Datadog

Benefits

• Several medical plan options, some paired with health savings accounts
• Dental and vision coverage
• 401(k) with pre-tax and post-tax contributions plus an employer match
• Flexible work weeks where possible and paid time off plans
• Paid parental, military, bereavement and jury duty leave, plus paid holidays

Pay

USD 119,000 to 161,000 per year