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AAA

Cloud Data DevOps Engineer

AAA

Cloud Data DevOps Engineer designing and maintaining data platforms on AWS and GCP. Collaborating with engineering and analytics teams to optimize data ingestion and processing frameworks.

Posted 7/31/2026full-timeCoppell • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing, deploying, and maintaining scalable cloud infrastructure on AWS and GCP, with a strong focus on automation, data security, and performance optimization. Proficient in implementing CI/CD pipelines and mentoring teams to adopt best practices in data engineering and analytics.

Highest-signal resume keywords
Cloud Infrastructure DesignAutomation ExpertiseData Security in AWS/GCPCI/CD Pipeline ImplementationData Pipeline Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud InfrastructureData Pipeline DevelopmentAutomationTroubleshootingSQLPythonSparkYAMLBashCloudFormation
Soft Skills
MentoringCommunicationCollaboration
Tools & Technologies
AWSGoogle CloudGlueLambdaBig QueryCloud FunctionsTerraformLinuxUnixNetworking
Certifications & Qualifications
Cloud Certification in DevOps
Industry Keywords
Data SecurityCloud AutomationBig Data SystemsNetwork InfrastructuresAgile Practices

Tech Stack

Tools & technologies
AWSBigQueryCloudGoogle Cloud PlatformLinuxPythonShell ScriptingSparkSQLTCP/IPTerraformUnix

About the role

Key responsibilities & impact
  • 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.
  • Develop cloud data ingestion and processing frameworks.
  • Automate routine tasks to improve efficiency and reduce manual intervention.
  • Implement and maintain CI/CD pipelines for data applications.
  • Optimize data pipelines and processes for performance and scalability.
  • Troubleshoot and resolve issues related to data pipelines and data processing.
  • 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, 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.
  • Mentor, teach, champion, and encourage an Automation mindset amongst the IT department and other business units.
  • Communicate the status of assigned work to management and follow agile practices, standard procedures, and policies.

Requirements

What you’ll need
  • Extensive hands-on expertise in Automation, troubleshooting logs, and optimizing system performance.
  • Deep understanding of Cloud and data security in AWS or Google Cloud.
  • Good experience with networking, Linux and Unix OS, and shell scripting.
  • 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 CloudFormation 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, and Bash.
  • Cloud Certification in DevOps in AWS or Google Cloud is a plus.

Benefits

Comp & perks
  • 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!)