AAA Logo

AAA

Senior Cloud DevOps Engineer

Posted 14 Days Ago
Be an Early Applicant
In-Office
Costa Mesa, CA
133K-177K Annually
Senior level
In-Office
Costa Mesa, CA
133K-177K Annually
Senior level
Designs and manages resilient multi-cloud AWS and GCP infrastructure for AI/ML workloads. Builds infrastructure-as-code and end-to-end MLOps CI/CD/CT pipelines, supports data science platforms, and manages EKS or GKE clusters with optimized GPU resources. Partners with data scientists and security and infrastructure teams to deploy AI/ML products, establish enterprise reference architectures, and operationalize emerging cloud and machine learning technologies.
The summary above was generated by AI
Senior Cloud DevOps Engineer

If you are passionate about making an impact utilizing cutting-edge data technology and eager to learn and grow with talented data & analytics teams, we believe you would be a great fit and help in innovation and solving challenges.  This role specifically focuses on AI/ML enablement.

Note: This is a hybrid role; 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.

What You’ll Do 

  • 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.

What You’ll Need 

  • 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. 

#LI-SH1

The starting pay range for this position is:

$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.

.

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). 

Similar Jobs

12 Days Ago
In-Office
165K-190K Annually
Senior level
165K-190K Annually
Senior level
Greentech • Energy • Industrial
Design, build, and maintain secure, scalable AWS and Azure infrastructure; administer Kubernetes clusters; develop CI/CD pipelines; manage GitHub Enterprise and Terraform; implement observability, security, and GitOps practices; troubleshoot production systems; support incident response and on-call operations; and document infrastructure and procedures.
Top Skills: Amazon EksArgocdAWSAzureAzure AdAzure AksAzure DevopsAzure MonitorAzure VnetsBashCi/CdCloudFormationCloudwatchDatadogDockerEc2FluxGithub ActionsGithub EnterpriseGitlab CiGoGrafanaIamIstioJenkinsKubernetesLambdaLinkerdOpaPrometheusPythonRdsS3SentinelTerraformVpc
28 Days Ago
In-Office
San Jose, CA, USA
145K-260K Hourly
Senior level
145K-260K Hourly
Senior level
Software
Design, implement, and maintain CI/CD and MLOps pipelines, provision and scale cloud-native AI infrastructure (Kubernetes, GPU clusters), enforce IaC practices, implement observability and security frameworks, lead incident response and cross-functional platform engineering to ensure high availability and compliance.
Top Skills: Alibaba CloudAnsibleAWSAzureCi/CdDockerElk/EfkGCPGoGpu ClustersGrafanaHelmIacInternal Developer Platform (Idp)KubernetesLinuxMlopsObservabilityPrometheusPythonShellSreTerraformTgiTriton Inference ServerVllmZero Trust
One Month Ago
In-Office
Senior level
Senior level
Industrial • Manufacturing
Design, build, and operate AWS-hosted infrastructure and ECS container environments using Terraform, Docker, and CI/CD. Implement monitoring, logging, and observability (Prometheus, Grafana, OpenSearch, CloudWatch), troubleshoot production issues, optimize cost and performance, automate deployments, participate in on-call rotation, and collaborate with software teams to improve reliability and scalability.
Top Skills: Amazon EcsAWSBashCi/CdCloudwatchDockerGrafanaKubernetesLinuxOpensearchPowershellPrometheusPythonTerraformWindows

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account