Senior Cloud DevOps Engineer

Sorry, this job was removed at 02:34 p.m. (UTC) on Wednesday, Aug 26, 2026
Costa Mesa, CA, USA
In-Office
133K-177K Annually
Senior level
Consumer Web • Transportation • Travel
The Role
Design, deploy, and maintain scalable cloud infrastructure (AWS/GCP) for data platforms. Build and automate CI/CD and data ingestion pipelines, troubleshoot and resolve pipeline and ML lifecycle incidents, optimize performance and networking, implement security best practices, and collaborate with data engineering, data science, and security teams to ensure reliable, secure, and scalable data operations.
Summary Generated by Built In
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.  

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 

  • Design, deploy, and maintain high available and scalable cloud infrastructure on AWS and GCP.

  • Build scalability, fault-tolerance, security, and performance into our data platforms to meet our growing data & analytics needs.

  • Deploy ML models, monitor model performance, identify and resolve issues in ML lifecycle.

  • Partner with our Information Security, Application Security, Data Center Services, and Cloud Infrastructure Services teams to ensure data is secure both at-rest and in-flight.

  • Configure and optimize networking components to ensure high performance, availability, and security.

  • Automate infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation).

  • Implement platform observability, monitoring, logging, and alerting frameworks.

  • Design and maintain enterprise CI/CD pipelines using GitHub Actions, Jenkins.

  • Automate application deployments, testing, security scanning, and release management processes.

  • Implement DevSecOps controls including SAST, DAST, dependency scanning, and compliance checks.

  • Build automated ML model training, testing, validation, deployment, and monitoring pipelines.

  • Implement feature store, model registry, experiment tracking, and model governance solutions.

  • Collaborate with application teams on microservices architecture and API management.

  • Optimize application performance, scalability, and reliability.

  • Improve system performance, cost optimization, and operational excellence.

  • Manage and resolve incidents related to data engineering pipelines.

What You’ll Need 

  • Extensive hands-on expertise in troubleshooting logs and optimizing system performance.

  • Deep understanding of Cloud and data security in AWS or Google Cloud.

  • Demonstrated aptitude for identifying the underlying issues in Cloud services such as Glue, Lambda, Big Query, and Cloud Functions.

  • Good experience with Cloud platforms AWS and/or Google Cloud in supporting Data pipelines and integrations.

  • Experience with Cloud Automations using Cloud Formation or Terraform.

  • Good understanding of network infrastructures and protocols such as TCP/IP, TLS.

  • Familiarity with data integration from different sources into Big Data systems is preferable.

  • Familiarity with SQL and programming languages such as Python, Spark, YAML, Bash, MLops tools like SageMaker

  • 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). 

Skills Required

  • Reside within a 100-mile radius of Costa Mesa, CA and be available on-site three days per week (plus 2-3 times per month)
  • Extensive hands-on expertise troubleshooting logs and optimizing system performance
  • Deep understanding of cloud and data security in AWS or Google Cloud
  • Experience identifying and resolving issues in cloud services such as Glue, Lambda, BigQuery, and Cloud Functions
  • Experience supporting data pipelines and integrations on AWS and/or Google Cloud
  • Experience with cloud automation using CloudFormation or Terraform
  • Good understanding of network infrastructures and protocols (TCP/IP, TLS)
  • Experience with networking, Linux/Unix operating systems, and shell scripting
  • Familiarity with SQL and programming languages/tools such as Python, Spark, YAML, Bash, and MLOps tools (e.g., SageMaker)
  • Familiarity with data integration from different sources into Big Data systems
  • Cloud DevOps certification in AWS or Google Cloud

AAA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AAA and has not been reviewed or approved by AAA.

  • Pay Growth & Progression Annual raises and bonuses are typically provided, signaling structured pay progression. Performance-based opportunities can add to earnings when goals are met.
  • Retirement Support A 401(k) match and an additional employer contribution are part of the package. This strengthens long‑term financial value beyond base pay.
  • Leave & Time Off Breadth Paid time off and paid holidays are provided, with generous PTO in the first year for certain roles. This breadth supports work‑life balance and recovery time.

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HQ: Dearborn, MI
13,858 Employees
Year Founded: 1902

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