AWS Infrastructure Engineer

Job Description We are seeking an experienced Platform Engineer who will be part of the Platform team managing the Data Science platform. Job Responsibilities:

• Support ongoing Data Science Infrastructure operations.
• Develop and deploy AWS environments using CI/CD processes for a rapidly growing team of Data Scientists.
• Manage and support large-scale environments to meet the needs of current and future Data Science teams.
• Champion and mature the environment by implementing and overseeing the image management lifecycle process.
• Assist in setting up and managing AWS accounts specifically for the Data Science platform.
• Provide hands-on development using CI/CD tools such as Azure DevOps.
• Utilize Infrastructure as Code (IaC) tools such as Terraform for environment setup and management.
• Develop scripts and applications using programming languages such as Python.
• Manage database technologies including Athena, Oracle, MySQL, and Postgres.
• Leverage AWS services essential for Data Lake, Data Science, AI/ML teams.
• Handle and resolve requests from development and business users, addressing any roadblocks.
• Manage secured infrastructure, enforce security measures, and apply necessary guard rails.
• Resolve infrastructure vulnerabilities within SLAs and maintain audit logs.
• Perform system upgrades and patching, providing on-call support as needed.
• Conduct root cause analysis and knowledge transfer sessions with the internal team.
• Collaborate with Network, Database, Infrastructure, and Architecture teams to align on projects and strategies.

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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements

• 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:

o Kubernetes o AWS services such as SageMaker, Glue, Lambda, Athena o CI/CD tools like Azure DevOps o IaC tools like Terraform o Docker and ECR (Elastic Container Registry) o Security tools like AQUA and Kenna

• 5+ years experience in technical write-ups. • 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. Insight Global