Senior Cloud DevOps Engineer

American Automobile Association

$132K — $176K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on experience in troubleshooting cloud systems and optimizing performance.
  • Strong understanding of cloud and data security concepts, specifically in AWS or Google Cloud.
  • Proficiency in using cloud services like Glue, Lambda, BigQuery, and Cloud Functions.
  • Experience managing data pipelines and integrations in AWS and/or Google Cloud.
  • Skilled in cloud automation tools such as CloudFormation or Terraform.
  • Knowledgeable in network infrastructures and protocols like TCP/IP and TLS.
  • Familiarity with programming languages and tools like Python, Spark, YAML, Bash, and MLops tools such as SageMaker.

Responsibilities

  • Design and maintain scalable cloud infrastructure on AWS and GCP.
  • Build secure and performant data platforms to meet analytics needs.
  • Configure networking components for high performance and availability.
  • Develop cloud data ingestion frameworks and troubleshoot related issues.
  • Automate tasks to enhance efficiency and minimize manual input.
  • Implement and maintain CI/CD pipelines for data applications.
  • Collaborate with data engineering and data science teams to ensure best practices are met.

Benefits

  • Health coverage for medical, dental, and vision.
  • 401(K) saving plans with a company match and pension.
  • Tuition assistance for personal development and training.
  • Floating holidays and PTO for community volunteer initiatives.
  • Paid parental leave to support family needs.
  • Wellness programs to promote employee health.
  • Employee discounts on memberships, insurance, travel, and entertainment.
Full Job Description
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.   

What You’ll Do 

  • 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. 

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. 
  • 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.

.

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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