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.

This is a hybrid role; the candidate must reside within a 100-mile radius of our Costa Mesa, CA office and be available to work on-site 3 days a week on a regular basis, as well as 2–3 times per month for team meetings and collaboration days.

Responsibilities

• Design, deploy, and maintain scalable and reliable cloud infrastructure on AWS and GCP.
• Build scalability, fault-tolerance, security, and performance into our data platforms to meet our growing data & analytics needs.
• Configure and optimize networking components to ensure high performance, availability, and security.
• Create Cloud System Reference Architecture.
• Develop cloud data ingestion and processing frameworks.
• Troubleshoot and resolve issues related to data pipelines and data processing.
• Manage and resolve incidents related to data engineering pipelines.
• Resolve incidents and their resolutions to prevent future occurrences.
• Automate routine tasks to improve efficiency and reduce manual intervention.
• Implement and maintain CI/CD pipelines for data applications.
• Deploy ML models, monitor model performance, identify and resolve issues in ML lifecycle.
• Optimize data pipelines and processes for performance and scalability.
• Work with our data engineering teams, data science teams, and analytical business users to review and ensure best practices are followed and high-quality code gets implemented.
• 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.
• Ensure data platforms remain current to take advantage of the latest features and support.
• Communicate the status of assigned work to management and follow agile practices, standard procedures, and policies.
• Seek guidance when direction is needed and speak up about technology risks identified.

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.
• Good experience with networking, Linux and Unix OS, and shell scripting.
• 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.

Pay

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.

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!)