Senior DevOps Python Developer

Описание

This role involves end-to-end development of back-end services and automation, focusing on Python development with FastAPI, CI/CD pipelines, and containerized deployment. A key part of the work is building and documenting services and tools exposed through Model Context Protocol (MCP) servers for both AI agents and engineering teams.

Responsibilities

• Design, build, and maintain production Python services and APIs using FastAPI, with clean architecture, sound object-oriented design, and maintainable code
• Build and maintain MCP servers and tools that expose enterprise applications and APIs, including tool schemas, documentation, and usage guidance written for AI agents and human users
• Design and maintain CI/CD pipelines in Jenkins and GitLab with automated unit, integration, and functional testing, code quality gates, and security scanning
• Build, secure, and deploy container images to Kubernetes and serverless environments
• Learn the domain logic of multiple enterprise applications and tools quickly, and build custom API integrations and interfaces for them
• Apply best practices for code quality, testing, observability (logging, metrics, tracing), and secrets management
• Balance company processes and security requirements with the needs of customers and the content they request
• Lead code reviews and set team standards for Python style, testing, packaging, and documentation
• Write and maintain processes and procedures for implementation staff, operations administrators, and developers
• Influence and collaborate with customer and solution teams across the organization, and explain technical ideas clearly to audiences with different levels of technical knowledge
• Work independently and as part of a collaborative team
• Take ownership of problems and deliver new solutions that are repeatable and dependable
• Mentor and train other developers, and help team members with questions about tools, processes, and design

Requirements

• 7+ years of professional Python development, including production back-end services
• Strong knowledge of FastAPI, async Python, REST API design, Pydantic, and object-oriented design patterns
• Strong knowledge of automated testing with pytest, covering unit, integration, and functional tests, along with mocking and test strategy
• Strong knowledge of Jenkins and GitLab CI/CD pipelines
• Strong knowledge of Docker, Kubernetes, and kubectl
• Experience managing code with Git, including branching strategies, merge requests, and code review workflows
• Experience with Python packaging and dependency management, such as pyproject.toml, uv or Poetry, and private package registries
• Experience with secrets management and secure coding practices

Nice to have

• Experience building or integrating with MCP servers, or with other LLM and AI agent tooling
• Knowledge of PowerShell
• Knowledge of Ansible Automation Platform
• Knowledge of Azure API Management administration in an enterprise environment

We offer

• This is a contract W2 position for 12 months
• The salary is $88 - $94 per hour