Python Platform Engineer - Detroit, MI (Onsite)

Overview

On Site
DOE
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Python
AWS
API
Lambda
ECS
S3
IAM
CI/CD
Gitlab

Job Details

DTS is looking for Python Platform Engineer for our direct client Position in Detroit, MI

Job Description:

We are building Generative AI Platform, enabling teams and applications across the organization to leverage AI in a safe and performant way. We aim to operate like a startup in an enterprise environment, moving quickly and iteratively working with our partners to get to the best solution.

Top Skills:

  • Python - experience in Python programming including application service development.
  • At least 5 years of AWS experience with a variety of services: Lambda, ECS, S3, Dynamo DB, API gateway, SQS, IAM, Security Groups.
  • Terraform - experience with Infrastructure as code.
  • Experience configuring and deploying CI/CD pipelines and version control like Gitlab.

Skills

  • At least 7 years of experience in Python programming including application service development.
  • Ability to design and build serverless and stateful systems on AWS that are scalable and highly available.
  • At least 5 years of AWS experience with a variety of services, in priority order but not limited to: Lambda, ECS, S3, Dynamo DB, API gateway, SQS, IAM, and Security Groups.
  • Experience with Infrastructure as code (Terraform preferred).
  • Experience configuring and deploying CI/CD pipelines in Gitlab.
  • Experience with microservice development patterns.
  • Experience working in an agile environment.
  • AI/ML experience/certification is a plus.
  • Experience with Apigee is a plus.
Contact:
Ajay Bharbutta
Team Lead
Digital Technology Solutions
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.