Job Listing

Description - Description:

AWS Python Platform Engineer

Culture

We are building our financial client's model hosting Platform, enabling modeling teams across the organization to host their AI/Client models as APIs in easy, self serve, 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. The ideal candidate is a strong team player, versatile in their skillset, loves to learn, and welcomes new challenges.

Note

This role is focused on end-to-end Cloud Native Application Development with Python. This is not a Data Engineering Role.
At our financial client, while we have dedicated Devops and Cloud teams, their purpose is to provide shared services and best practices for teams to be self-sufficient. This means that in additional to being able to write robust application logic, developers are also responsible for deploying their own cloud infrastructure with Infrastructure as code, as well as maintaining their CI/CD pipelines and making updates as required.
The ideal candidate can excel in these areas.

Tech

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, Step Functions, SQS, IAM, Security Groups.
Experience with Infrastructure as code (Terraform preferred).
Experience with microservice development patterns.
Experience working in an agile environment.
Experience/ Working knowledge configuring and deploying CI/CD pipelines
Experience with version control like GitLab
AI/Client experience/certification is a plus.
Experience with Apigee is a plus.

Skill/Experience/Education:

Mandatory:
--

Desired Skills:
--