Job Description As a Cloud Engineer within the AWS AI/ML platform team, you will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the AI/ML infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency. You will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Qualifications: - Strong debugging and code optimization skills, with a focus on automation - Hands-on experience with infrastructure automation tools: Terraform, CloudFormation, Ansible, or Puppet - Familiar with CI/CD tools like Jenkins, CodePipeline, or Azure DevOps - Proficient in version control using Git - Skilled in scripting languages such as Python, Node.js, Bash, or PowerShell - Experience with Docker and container orchestration platforms - Knowledgeable in AWS security and IAM - Familiar with big data and ETL tools: Hadoop, EMR, Glue, Spark - Understanding of relational databases and application interactions - Experience with monitoring and logging tools: Splunk, ELK, Prometheus, or Grafana Must Haves: - One or more Associate or Professional-level AWS certifications - Prior experience in DevOps, DevSecOps, SRE, or UNIX/Linux SysAdmin teams - 5+ years of experience with core AWS services: VPC, EC2, S3, RDS, CloudWatch, etc. - Experience working in an Agile/Scrum-focused organization - MS/BS degree in Information Technology, Computer Science, a related technical field, or equivalent practical experience null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.