Python Developer

Skills

This role is focused on supporting our Cloud Native Gen AI Platform both from an observability and testing standpoint. You would be working side by side with the engineers on the team to ensure proper instrumentation of observability tooling alerting and testing is in place as well as independently building ways to perform health checks and load testing on the system. This is not a Data Engineering Role. At 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.

Description

Our team is building client’s 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.

As we scale our platform, it’s imperative that we have a mature observability and testing framework.

This role will focus in these areas, partnering with our Enterprise Observability, Sustain, and Testing teams to help ensure our platform is a reliable enterprise asset for our stakeholders to confidently leverage.

The ideal candidate is a strong team player, versatile in their skillset, loves to learn, and welcomes new challenges.

Responsibilities

• At least 3+ years of experience with observability tools such as Dynatrace, Datadog or Splunk.
• At least 5 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, 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