Req number:
R8194Employment type:
Full timeWorksite flexibility:
RemoteWho we areCAI is a global services firm with over 9,000 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 right—whatever 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
We are looking for a motivated AWS Devops Engineer ready to take us to the next level! If you have experience in building and maintaining scalable infrastructure, enabling reliable CI/CD pipelines, and driving automation across AWS and Databricks environments are looking for your next career move, apply now.Job Description
We are looking for an AWS DevOps Engineer with 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 You’ll 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 You'll 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
Bachelor’s degree in computer science, Information Technology, Engineering, or related discipline
Physical Demands
Ability to safely and successfully perform the essential job functions
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a 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 [email protected] or (888) 824 – 8111.
Skills Required
- 3+ years of experience in DevOps, cloud engineering, or related roles
- Experience with Databricks platform (cluster setup, job execution, notebooks)
- Hands-on experience with AWS services (EC2, S3, IAM, VPC, Lambda)
- 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 and DataDog
- Infrastructure as Code (IaC) using Terraform or AWS CloudFormation
- Strong scripting/programming skills in Python
- Strong scripting/programming skills in Groovy
- Shell scripting experience
- Understanding of cloud security, networking, and system architecture principles
- Experience in FinOps
- Experience working in Agile/Scrum environments
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline
CAI (cai.io). Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CAI (cai.io). and has not been reviewed or approved by CAI (cai.io)..
-
Retirement Support — Retirement contributions and an ownership component are highlighted as standout perks and positioned as a key strength of the package. This is framed as a notable differentiator within the overall offering.
-
Wellbeing & Lifestyle Benefits — A wellness program that can reduce medical premiums, an Employee Assistance Program, and active employee resource groups are emphasized. A work-from-anywhere philosophy and flexible scheduling are also presented as quality-of-life benefits when client needs allow.
-
Affordable Benefits — The primary medical setup is described as a high-deductible option with low premiums and an HSA contribution, which some view as cost-effective. Wellness participation is stated to further lower monthly premiums.
CAI (cai.io). Insights
What We Do
CAI is a global services firm with over 8,700 associates worldwide and a yearly revenue of $1 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’s right—whatever 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









