Python Developer - Automation & AI (Remote, US-Based)
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Role details
Tech stack
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Job description
Join a fast-paced, innovative team as a Python Developer specializing in Automation and AI. Youβll architect and optimize scalable infrastructure automation platforms, leveraging the latest in AI-assisted development tools. Collaborate with cross-functional teams in an Agile environment, mentor junior engineers, and drive digital transformation across cloud-based services. This 12+ month contract offers flexibility, impactful projects, and the opportunity to advance your expertise in a future-focused environment., Architect, develop, and maintain robust, object-oriented Python automation services
- Collaborate with Product, SRE, and Operations teams to deliver high-quality, scalable solutions
- Design, refine, and support CI/CD pipelines, automated testing, and deployment documentation
- Troubleshoot and optimize performance of automation and infrastructure tools
- Leverage AI-assisted coding, testing, and code review tools to accelerate delivery
- Mentor junior team members and contribute to best practice development
- Lead legacy Ansible macroservice migration to OpenAPI-compliant microservices
- Participate in Agile ceremonies, including sprint planning, standups, and retrospectives
Requirements
5+ years professional Python development experience with strong OOP skills
- Proficiency with Git workflows and Bitbucket
- Experience with API design, microservices, and cloud architecture principles
- Strong Mongo query development skills
- Proven Agile team contributor
- Skilled in AI-assisted development tools (code completion, LLMs, test generation)
- Expertise in Ansible and configuration management
- Advanced debugging, testing (unit/integration), and CI/CD practices
- Excellent cross-functional communication abilities
Preferred Skills
- Infrastructure automation (IaC, automation frameworks)
- Familiarity with SAN/NAS, object, or distributed storage
- Golang tool development or maintenance
- Experience with Kafka (stream processing)
- Containerization with Docker, Kubernetes
- Hands-on with AWS, GCP, or Azure and observability tools
- Knowledge of Richardson Maturity Model and OpenAPI specification, Python Git JIRA
Benefits & conditions
100% remote work with flexible scheduling
- Opportunity to lead modernization initiatives and leverage AI-driven workflows
- Collaborative, Agile work environment with growth and mentorship opportunities
- Exposure to modern cloud and automation technologies
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