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.
#LI-LD1
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.
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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!)
"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
Benefits
Health insuranceDental insuranceVision insurance401(k)Paid time offParental leave
Additional Information
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.
Ace · Costa Mesa, CA