Entry Level Devops Engineer Jobs in Orange, CA (NOW HIRING)

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.

The starting pay range for this position is:

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!)

"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).