Senior Cloud DevOps Engineer
$132,600–$176,900 year
HybridCosta Mesa, California, United States
Job Summary
Design, deploy, and maintain high-availability cloud infrastructure on AWS and GCP, building scalability and fault-tolerance into data platforms. Deploy and monitor ML models, resolving issues across the ML lifecycle while implementing DevSecOps controls including SAST, DAST, and dependency scanning. Automate infrastructure provisioning using Terraform and CloudFormation, and manage enterprise CI/CD pipelines with GitHub Actions and Jenkins to handle application deployments, testing, and release management. Configure networking components, optimize performance and cost, and resolve incidents related to data engineering pipelines. Ensure data security at-rest and in-flight by partnering with Information Security and Cloud Infrastructure teams.
Required Qualifications
- 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
- Familiarity with MLops tools like SageMaker
- Cloud Certification in DevOps in AWS or Google Cloud
- Must reside within a 50-mile radius of our Costa Mesa, CA office
- Must be available to work on-site 3 days a week on a regular basis
Desired Qualifications
- Familiarity with data integration from different sources into Big Data systems is preferable
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