Senior Python Developer

Who We Are

CatalyzeX pairs deep process expertise with top offshore talent, enabling AI-driven and technology companies to scale faster and smarter. We marry proven delivery frameworks with a people-first culture, creating human-centric solutions that drive meaningful impact for our clients’ software products and platforms.

What You’ll Do

• Design, build, and maintain high-performance web services and REST/GraphQL APIs using

  Python 3.10+

  with

  FastAPI

  .
• Model, query, and optimize data in

  MongoDB

  (Motor, PyMongo, or an ODM).
• Translate product and business requirements into clean, efficient, and testable code.
• Implement asynchronous workflows, background tasks, and message queues (e.g., Celery, Redis, or RabbitMQ).
• Enforce security, authentication, and authorization (JWT, OAuth 2.0).
• Write unit, integration, and end-to-end tests with

  pytest

  and

  httpx/pytest-asyncio

  .
• Package, containerize, and deploy applications via Docker and CI/CD pipelines.
• Profile and tune performance to maximize throughput and minimize latency.
• Participate in code reviews, mentor junior engineers, and help shape backend best practices.
• Collaborate closely with product, front-end, and DevOps teams to deliver reliable releases on schedule.

Must-have qualifications

• 3+ years

  of professional backend development with Python (preferably FastAPI or similar async framework such as Starlette or AioHTTP).
• Production experience with MongoDB, including schema design, indexing, and aggregation pipelines.
• Solid grasp of asynchronous programming (async/await), concurrency, and event-driven architecture.
• Proficiency with modern Python tooling (pipenv/poetry, Pydantic, type hints, mypy, black/ruff).
• Hands-on experience building, documenting, and versioning RESTful or GraphQL APIs.
• Comfort with Git workflows and CI/CD (GitHub Actions, GitLab CI, CircleCI, etc.).
• Familiarity with Docker (compose, multi-stage builds) and cloud services (AWS, Azure, or GCP).
• Strong debugging, troubleshooting, and performance-tuning skills.
• Excellent written and verbal communication in English.

Nice-to-have bonuses

• Exposure to event streaming (Kafka, NATS) or serverless platforms (AWS Lambda).
• Knowledge of ORMs/ODMs like Beanie, MongoEngine, or SQLModel.
• Experience with Infrastructure-as-Code (Terraform, Pulumi) and observability stacks (Prometheus/Grafana, ELK).
• Background in data validation & serialization (Pydantic v2, Marshmallow) and OpenAPI/Swagger documentation.

Technical Requirements

• Stable high-speed internet (≥ 20 Mbps).
• Modern development laptop/desktop able to run multiple Docker containers & IDEs simultaneously.
• Quiet, professional workspace suitable for focused coding and frequent virtual collaboration.