Senior Cloud DevOps Engineer
AAAAbout the role
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 - $176,900.00Additionally, 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!)
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