Python Engineer

Quick Facts

• Role: Python Engineer

Description

You will build and own core managed PaaS services (e.g., DBaaS, RaaS, MLOpsaaS) with full end-to-end responsibility, from Kubernetes integration to APIs and documentation. The role includes developing PaaS service components, designing multi-tenant, large-scale solutions, and partnering with Product Manager on business requirements. You will also prototype new solutions and improve existing code with a strong focus on security, scalability, reliability, maintainability, and engineering quality.

Responsibilities

• Develop components that make up PaaS services

• Design solutions for multi-tenant environments and high-scale systems

• Collaborate with a Product Manager to deliver business requirements

• Create prototypes and proof of concept for new solutions

• Extend existing code and implement new components

• Make technical decisions considering security, scalability, reliability, and maintainability

• Ensure code quality via code reviews, automated tests, refactoring, and engineering best practices

• Diagnose complex issues across PaaS services, shared services, and cloud infrastructure

• Collaborate with other engineering teams

• Create and maintain documentation and standards

Requirements

• Strong knowledge of Python

• Practical knowledge of at least one framework: FastAPI, Flask, or Django

• REST API design knowledge (CRUD operations, error handling, data validation, versioning)

• Experience implementing persistence using SQL (PostgreSQL) and NoSQL (Redis), including data modeling and migrations

• Kubernetes knowledge enabling independent deployment, configuration, and troubleshooting of your services

• Comfortable using AI-assisted development tools (e.g., Claude Code, Copilot) as a regular part of engineering workflow

Benefits

• Build a modern cloud platform ecosystem from scratch

• Join an autonomous, startup-like team within a stable organization

• Work with CNCF technologies in production (Kubernetes, KNative, Cilium, ArgoCD, Kubeflow, and more) with opportunities to contribute to open-source

• Real impact on architectural and product decisions

• AI-native workflow using tools like Claude Code as an integral part of work

• Autonomy in organizing work, clear collaboration rules, and stable employment with attractive compensation

• Social benefits: medical care, Multisport, life insurance

• Opportunity to attend language classes