Senior Cloud DevOps Engineer

AAA • Costa Mesa, CA

5d • $132,600 - $176,900 • Hybrid

About The Position

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 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.

Requirements

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

Nice To Haves

• Familiarity with data integration from different sources into Big Data systems is preferable.
• Cloud Certification in DevOps in AWS or Google Cloud is a plus.

Responsibilities

• 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.

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