Python Developer

Company Overview

BotCity brings governance to the code AI writes. AI turned asking into code, and every business user is now a developer. The Python they generate runs on corporate workstations outside any pipeline, inventory, or approval flow, and nothing in the enterprise stack was built to see it. BotCity Sentinel governs that code where it runs: a script-level inventory of what executes, where, and by whom, contextual policies that allow, alert, or block, and a remediation loop where the author makes the first fix. Security asks whether code is malicious. Governance asks whether it should run, here, by this person. We built Sentinel to own the second question. Today it's Python. Tomorrow it's every line of code AI writes.

BotCity serves 1,000+ teams in 70+ countries, including customers as Bayer and LG. We raised a $12M Series A led by Four Rivers, with participation from Y Combinator, SoftBank, and founders and investors including Lew Cirne (New Relic), Rod Johnson (SpringSource), and Walter Kortschak (Summit Partners and Firestreak Ventures). G2 named BotCity one of the world's top 25 emerging platforms.

We are a remote company with teams across the US, Canada and LATAM. Small team, large customers, a category forming around us. If you want real ownership over a problem that matters, we should talk.

Role Overview

The Python Developer will be responsible for building and maintaining features, libraries, and services of BotCity’s platform, delivering clean, tested, and secure Python code. The ideal professional has solid Python fundamentals, enjoys learning, and works collaboratively with senior engineers, Product, and QA to ship reliable software, growing in autonomy and technical depth over time. This role reports to VP of Enineering.

Responsibilities

• Develop, test, and maintain Python libraries, modules, and services used by enterprise clients worldwide.
• Write secure code and keep dependencies up to date and free of known vulnerabilities.
• Follow the team's Python coding conventions, linters, static analysis, and architectural guidelines.
• Participate in code reviews, giving constructive feedback and incorporating the feedback received.
• Write and maintain automated tests, keeping CI pipelines green.
• Work collaboratively with Product, QA, DevOps, and other engineers to translate requirements into reliable, maintainable implementations.
• Debug and fix issues, including performance and memory problems.
• Contribute to technical discussions on API design, data models, and integrations.
• Keep learning the Python ecosystem and suggest improvements to tools and practices.
• Document features, modules, and technical decisions.
• Share what you learn through pairing, docs and internal talks.
  
  

• Degree in Computer Science, Engineering or a related field
• Professional experience (3+ years) with Python development, delivering features in production environments
• Solid knowledge of Python, including OOP, data structures, error handling, type hints, and the standard library
• Experience with Python packaging, virtual environments, and dependency management (uv, pip, poetry or conda)
• Experience writing automated tests (pytest or unittest) and working with Git, code reviews, and CI/CD pipelines
• Experience with Python language internals, decorators, concurrency, threading/async, and memory management
• Experience with Linux and comfortable with the command line
• Solid knowledge of Git and GitHub
• Experience working with MS Office/Excel, Google Suite, Notion
• Ability to travel as needed to support events and meet the team
• Experience with Rust and integrating Python with Rust
• Contributions to open-source Python projects
• Experience with relational (e.g. PostgreSQL) and non-relational databases and ORM tools
• Experience with containers (Docker)
• Prior experience in an early-stage, high-growth, and fast-paced startup environment
• Portuguese - Fluent
• English - Advanced
  
  

• Experience with Rust and integrating Python with Rust
• Contributions to open-source Python projects
• Experience with relational (e.g. PostgreSQL) and non-relational databases and ORM tools
• Experience with containers (Docker)
• Prior experience in an early-stage, high-growth, and fast-paced startup environment