Senior Cloud DevOps Engineer

• Multi-Cloud AI/ML Infrastructure: Design, provision, and maintain resilient, scalable multi-cloud infrastructure across AWS and GCP tailored for AI/ML workloads.
• Infrastructure as Code (IaC): Automate end-to-end cloud infrastructure and environment provisioning using Terraform and AWS CloudFormation.
• End-to-End MLOps Pipelines: Partner with data scientists to design and implement robust CI/CD/CT pipelines for automated model training, testing, validation, artifact packaging, deployment, monitoring and observability.
• AI Platform Enablement: Enable and support modern data science platforms (e.g. Amazon SageMaker Unified Studio) and emerging platforms (Snowflake Cortex AI, and Snowflake ML).
• Kubernetes Configuration & Management: Deploy and manage production-grade EKS or GKE clusters, optimizing node pools, autoscaling, and compute/GPU resources for ML training and real-time inference.
• Cross-Functional Collaboration: Partner with Information Security, Application Security, Data Center Services, and Cloud Infrastructure Services teams to enforce security, governance, and architectural best practices.
• Reference Architecture & 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.

• Deep, production-level expertise in either AWS or GCP, with working knowledge of or high adaptability to the other. You are likely to interact with the following core services:
• AWS: EKS, S3, IAM, EC2, ECR, SageMaker AI, CloudWatch, Redshift, Lambda.
• GCP: 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.
• Cloud Certification in DevOps in AWS or Google Cloud is a plus.

$132,600.00 - $176,900.00

Additionally, for full time positions, you will be eligible to participate in our incentive program based upon the achievement of organization, team and personal performance.

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Remarkable 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!)

Auto Club Enterprises is the largest club within the national AAA federation. We have nearly 17,000 employees in 24 states helping more than 18 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity - we win. All of Us! With our national brand recognition, long-standing reputation since 1900, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.

“Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”

AAA is an Equal Opportunity Employer

Our organization participates in E-Verify

The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance (FCIHO), the Unincorporated Los Angeles County (ULAC) regulation, and the California Fair Chance Act (CFCA).