We are looking for a Senior Python Backend Engineer to join our Platform team at Profitero a global e-commerce analytics company helping 1000+ brands across 50 countries grow profitably on platforms like Amazon.

You will be at the core of our data collection infrastructure designing and operating a distributed crawling and parsing platform that processes 18TB+ of data and tracks 13 million new products every quarter. This is a high-ownership, backend-heavy role (95% server-side) with real scale and real impact.

Key Responsibilities :

- Design and develop distributed data collection systems capable of handling large-scale workloads (18TB+ data, 13M+ products per quarter)

- Build and maintain HTTP and RabbitMQ-based API services in Python using FastAPI, asyncio, and Pydantic

- Write clean, modular, and well-tested code including unit and integration tests using pytest

- Containerise applications using Docker and manage deployments on Kubernetes

- Maintain and improve CI/CD pipelines on GitLab CI (in collaboration with the Infra & DevOps team)

- Analyse, debug, and support legacy Ruby components as needed

- Own release management for your services from development through to production

- Contribute to code reviews and uphold engineering standards across the backend team

- Collaborate with cross-functional teams to integrate the crawling framework into broader data workflows

Tech stack :

- Primary : Python (asyncio, FastAPI, Pydantic, pytest), MySQL, MongoDB, RabbitMQ, Docker, Kubernetes, GitLab CI, Linux/Shell

- Good to have : Kafka, Redis, Snowflake, GCP, Airflow, Ansible, Ruby

Candidate Profile :

- 7+ years of overall software development experience, with at least 5 years in Python

- Deep working knowledge of Python's async ecosystem asyncio, coroutines, event loops, and concurrency patterns

- Strong SQL skills : ability to write complex queries and, critically, reason through and justify design choices (not just produce output)

- Hands-on experience with Docker internals container lifecycle, image layering, namespaces, and resource constraints

- Experience deploying and troubleshooting services on Kubernetes

- Solid understanding of REST and message-queue (RabbitMQ) API design, including middleware, dependency injection, and error-handling patterns

- Demonstrated culture of automated testing candidates should be able to write pytest unit tests for their own business logic, including appropriate mocking

- Familiarity with NoSQL databases, particularly MongoDB

- Good understanding of software design patterns and ability to write simple, idiomatic, modular code

- English communication skills at B2 level or above ability to articulate technical reasoning clearly, not just deliver results