Job Description
A client of Insight Global is seeking an experienced AWS Infrastructure Engineer who will be part of their Platform team managing the Data Science platform.
Job Responsibilities:
Manage and operate AWS EKS clusters that host Shakudo and SAS Viya — currently supporting 25+ active prototypes, growing to 60+ by end of 2026.
Build and maintain CI/CD pipelines using Azure DevOps for deploying data science environments and platform updates
Provision and manage AWS infrastructure using Terraform - VPCs, EKS node groups, IAM roles, ECR, RDS instances.
Manage container image lifecycle via Amazon ECR - building, versioning, scanning for vulnerabilities.
Set up and maintain AWS accounts for the Data Science platform, including IAM, cost controls, and security guardrails.
Respond to infrastructure incidents within SLA - on-call rotation, root cause analysis, post-mortems.
Perform Kubernetes cluster upgrades, node patching, and security remediation.
Support Data Scientists by unblocking infrastructure issues - not writing their code, but ensuring their compute and storage works.
Conduct knowledge transfer sessions within the platform team - documentation, runbooks, workshops
Collaborate with Network, Database, Architecture, and Security teams.
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/.
Required Skills & Experience
Bachelor’s degree in computer science or a related field.
5+ years experience in Data Science Infrastructure.
5+ years extensive experience with Data Lake, Data Science, and AI/ML services hosted on AWS infrastructure.
5+ years working knowledge of the following technologies:
Kubernetes
deploying clusters, managing nodes, networking (ingress, CNI), RBAC, persistent storage, and troubleshooting production issues
Experience with AWS services: EKS, ECR, SageMaker (infra layer), Lambda, Athena, Glue
specifically managing and operating them, not just calling APIs from notebooks
CI/CD tools like Azure DevOps
IaC tools like Terraform
to provision and manage AWS resources programmatically
Docker and ECR (Elastic Container Registry)
Security-first mindset
IAM policies, security groups, VPCs, audit logging, vulnerability remediation within SLAs
Database infrastructure support
Athena, Oracle, MySQL, Postgres
Nice to Have Skills & Experience
AWS and Terraform certified professionals. Kubernetes or CKA
Familiarity with technical service management and product life cycle maintenance.
Knowledge of programming and scripting languages such as Python and shell scripting.
In-depth knowledge of database technologies like Athena, Oracle, MySQL.
Extensive experience with CI/CD and IaC tools such as Azure DevOps and Terraform.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.