AWS Platform Engineer II (Data Science & AI/ML) - Hybrid

Genesis10•Columbus, OH

20h•Hybrid

About The Position

Genesis10 is seeking an experienced Platform Engineer to join the Platform team that manages the Data Science platform. This is a 3-month contract-to-hire opportunity located in Columbus, OH; Atlanta, GA; Pittsburgh, PA; Chicago, IL; or Dallas, TX. The role is hybrid and offers a compensation of $52.00 - $56.00 per hour, W2, based on qualifications. The engineer will be responsible for supporting ongoing Data Science Infrastructure operations, developing and deploying AWS environments using CI/CD processes, and managing large-scale environments to meet the needs of current and future Data Science teams. The role also involves championing and maturing the environment by implementing and overseeing the image management lifecycle process, assisting in setting up and managing AWS accounts specifically for the Data Science platform, and providing hands-on development using CI/CD tools such as Azure DevOps. Additionally, the engineer will utilize Infrastructure as Code (IaC) tools like Terraform, develop scripts and applications using programming languages such as Python, manage database technologies including Athena, Oracle, MySQL, and Postgres, and leverage AWS services essential for Data Lake, Data Science, and AI/ML teams. The position requires handling and resolving requests from development and business users, managing secured infrastructure, enforcing security measures, applying necessary guardrails, resolving infrastructure vulnerabilities within SLAs, and maintaining audit logs. System upgrades, patching, on-call support, root cause analysis, and knowledge transfer sessions are also part of the responsibilities. Collaboration with Network, Database, Infrastructure, and Architecture teams is essential to align on projects and strategies.

Requirements

Bachelor's degree in computer science or a related field
2+ years of experience in Data Science Infrastructure
2+ years of extensive experience with Data Lake, Data Science, and AI/ML services hosted on AWS infrastructure
2+ years working knowledge of Kubernetes
2+ years working knowledge of AWS services such as SageMaker, Glue, Lambda, Athena
2+ years working knowledge of CI/CD tools like Azure DevOps
2+ years working knowledge of IaC tools like Terraform
2+ years working knowledge of Docker and ECR (Elastic Container Registry)
2+ years working knowledge of Security tools like AQUA and Kenna
2+ years of experience in technical write-ups

Nice To Haves

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

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, and AI/ML teams
Handle and resolve requests from development and business users, addressing any roadblocks
Manage secured infrastructure, enforce security measures, and apply necessary guardrails
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

Benefits

Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years
The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
Behavioral Health Platform
Medical, Dental, Vision
Health Savings Account
Voluntary Hospital Indemnity (Critical Illness & Accident)
Voluntary Term Life Insurance
401K
Sick Pay (for applicable states/municipalities)
Commuter Benefits (Dallas, NYC, SF, and Illinois)