AWS DevOps Engineer

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CAI is a global services firm with over 9000 associates worldwide and a yearly revenue of $1.3 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

Job Description

We are looking for anAWS DevOps Engineerwith experience in building maintaining scalable infrastructure enabling reliable CI/CD pipelines and driving automation across AWS and Databricks environments. This position will be Full-time and Remote.

What Youll Do

• Manage and maintain AWS cloud infrastructure ensuring scalability security and cost efficiency

• Design build and manage Databricks infrastructure on AWS

• Support deployment and operationalization of Databricks-based data platforms including cluster management and job orchestration

• Implement Infrastructure as Code (IaC) practices using tools such as Terraform or AWS CloudFormation

• Develop automation scripts and tools using Python and Shell scripting to streamline operational processes

• Design implement and optimize CI/CD pipelines using CloudBees (Jenkins) to support application and data platform deployments

• Collaborate with software engineering data engineering and architecture teams to enable reliable and efficient delivery pipelines

• Monitor system performance availability and reliability using enterprise monitoring solutions

• Troubleshoot production issues and implement root cause analysis with preventive actions

• Ensure compliance with TE Connectivity security governance and quality standards

• Drive continuous improvement initiatives aligned with DevOps best practices and TE operational excellence

What Youll Need

Required:

• 3 years of experience in DevOps cloud engineering or related roles

• Exposure to Databricks platform (cluster setup job execution notebooks)

• Hands-on experience with AWS services (EC2 S3 IAM VPC Lambda etc.)

• Experience with CloudBees/Jenkins for CI/CD pipeline implementation

• Experience with Git-based version control systems

• Experience with monitoring and logging tools such as CloudWatch DataDog

• Understanding of cloud security networking and system architecture principles

• Strong scripting/programming skills in Python and Groovy

• Experience in FinOps

• Experience working in Agile/Scrum environments

• Bachelors degree in computer science Information Technology Engineering or related discipline

Physical Demands

• Ability tosafely and successfully perform the essential job functions

• Sedentary work that involves sitting orremainingstationary most of the time with occasional need to move around the office to attend meetings etc.

• Ability to conduct repetitive tasks on a computerutilizinga mouse keyboard and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).