Senior Cloud DevOps Engineer

AAA • Costa Mesa, CA

1d • Hybrid

About The Position

This role specifically focuses on AI/ML enablement. The candidate must reside within a 50-mile radius of our Costa Mesa, CA office and be available to work on-site 3 days a week on a regular basis. The Senior Cloud DevOps Engineer will design, provision, and maintain resilient, scalable multi-cloud infrastructure across AWS and GCP tailored for AI/ML workloads. They will automate end-to-end cloud infrastructure and environment provisioning using Terraform and AWS CloudFormation. This role involves partnering with data scientists to design and implement robust CI/CD/CT pipelines for automated model training, testing, validation, artifact packaging, deployment, monitoring, and observability. The engineer will also enable and support modern data science platforms like Amazon SageMaker Unified Studio and emerging platforms such as Snowflake Cortex AI and Snowflake ML. Additionally, they will deploy and manage production-grade EKS or GKE clusters, optimizing resources for ML training and inference, and collaborate with various teams to enforce security, governance, and architectural best practices. A key aspect of this role is partnering with data scientists to architect and deploy flagship AI/ML products, establishing reusable blueprints and best practice patterns for enterprise-wide adoption.

Requirements

• Deep, production-level expertise in either AWS or GCP, with working knowledge of or high adaptability to the other.
• AWS core services: EKS, S3, IAM, EC2, ECR, SageMaker AI, CloudWatch, Redshift, Lambda.
• GCP core services: GKE, GCS, Cloud IAM, Artifact Registry, Vertex AI, Cloud Logging/Monitoring, BigQuery, Cloud Functions.
• Advanced Docker containerization skills, including multi-stage builds and image optimization for heavy ML runtimes (PyTorch/TensorFlow).
• Experience with building deployment pipelines using GitHub Actions for CI/CD.
• Experience with IaC tools (CloudFormation/Terraform).
• Solid understanding of cloud and container networking, routing, and protocols such as TCP/IP, TLS, HTTP/2, and data security best practices such as least privilege access management.
• Strong scripting and programming proficiency in Python, Bash, SQL.
• Familiarity with configuring Kubernetes (EKS or GKE) for ML workloads.
• Experience supporting enterprise data/ML platforms and a willingness to learn and evaluate new vendor capabilities, such as Snowflake Cortex AI and Snowflake ML.
• Interest and willingness to research, evaluate, and operationalize emerging AI/ML and cloud technologies.

Nice To Haves

• Cloud Certification in DevOps in AWS or Google Cloud is a plus.

Responsibilities

• Design, provision, and maintain resilient, scalable multi-cloud infrastructure across AWS and GCP tailored for AI/ML workloads.
• Automate end-to-end cloud infrastructure and environment provisioning using Terraform and AWS CloudFormation.
• Design and implement robust CI/CD/CT pipelines for automated model training, testing, validation, artifact packaging, deployment, monitoring and observability.
• Enable and support modern data science platforms (e.g. Amazon SageMaker Unified Studio) and emerging platforms (Snowflake Cortex AI, and Snowflake ML).
• Deploy and manage production-grade EKS or GKE clusters, optimizing node pools, autoscaling, and compute/GPU resources for ML training and real-time inference.
• Partner with Information Security, Application Security, Data Center Services, and Cloud Infrastructure Services teams to enforce security, governance, and architectural best practices.
• Partner closely with data scientists to architect and deploy flagship AI/ML products, establishing reusable blueprints, golden paths, and best practice patterns for enterprise-wide adoption.

Benefits

• Health coverage for medical, dental, vision
• 401(K) saving plans with company match AND Pension
• Tuition assistance
• Floating holidays and PTO for community volunteer programs
• Paid parental leave
• Wellness programs
• Employee discounts (membership, insurance, travel, entertainment, services and more!)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed