Python Developer - Automation & AI

Role: Python Developer - Automation & AI

Location: Remote

Duration: 12+ Months Contract

Pay rate: $85/hr W2 

Role summary:

Build, maintain, and improve infrastructure automation platform using Python. Collaborate with product, SRE, and operations teams in an Agile environment to deliver reliable, well-tested software and automation that scales.

Key responsibilities:

• Design and implement clean, maintainable object-oriented Python code for services and automation.
• Use Git, Jira, and Bitbucket for source control, branching strategies, and pull-request workflows.
• Work in an Agile team: sprint planning, standups, retrospectives, backlog refinement.
• Develop and maintain CI/CD pipelines, automated tests, and deployment/runbook documentation.
• Troubleshoot, profile, and optimize application and automation performance.
• Mentor junior engineers and contribute to team best practices.

Required qualifications:

• 5+ years professional experience developing in Python with strong object-oriented programming skills.
• Proven experience with Git workflows and Bitbucket (pull requests, branching strategies).
• API Design
• Microservice and Cloud Architecture Principles
• Mongo Query Development
• Experience working in Agile teams and familiarity with Agile ceremonies.
• Must be able to use AI-assisted development tools (code completion, LLM-assisted coding, AI-driven test generation, and AI-assisted code review) to accelerate delivery and improve quality.
• Ansible and configuration management for provisioning and automation.
• Strong debugging, testing (unit/integration), and CI/CD mindset.
• Excellent communication skills and ability to work cross-functionally.

Desired experience:

• Infrastructure automation experience (IaC, automation frameworks, pipeline automation).
• Familiarity with storage technologies (SAN/NAS, object storage, distributed storage systems).
• Experience writing or maintaining tools in Golang.
• Kafka experience (producers/consumers, stream processing) preferred.
• Container experience (Docker, Kubernetes) preferred.
• Cloud platform experience (AWS, Google Cloud Platform, or Azure) and observability tooling.
• Comfortable participating in and conducting code reviews.
• Familiarity with the Richardson Maturity Model
• Knowledge of OPENAPI spec
• What success looks like (first 6 months)
• Migrate the top 5 legacy ansible-based, macroservice fulfillment services to RMM level 2 openapi spec microservice using an AI-assisted development workflow
• Improve CI/CD reliability and increase automated test coverage.