Job Details

Middle Python / MLOps Engineer at Wildberries. Develop REST API with FastAPI, design and implement backend services, integrate with databases, ensure scalability and fault tolerance, write automated tests, configure CI/CD processes, and participate in Scrum planning. Experience with Docker, Kubernetes, Python, FastAPI, PostgreSQL, ClickHouse, Kafka, Redis, Spark, Prometheus, Grafana, Opensearch/ELK, and Triton Inference Server is required.

Develop REST API using FastAPI; Design and implement backend services from scratch; Perform integrations with databases and data exchange systems; Ensure scalability and fault tolerance of services; Write and maintain automated tests; Configure and maintain CI/CD processes for continuous integration; Participate in task planning and work according to the Scrum methodology; Closely interact with the team for prompt resolution of technical issues.

Strong engineering skills: we expect an independent specialist who not only writes code but also understands the full application delivery cycle - confident experience in setting up and using CI/CD, working with Docker and Kubernetes; Understanding of DevOps culture: ability to write and maintain Helm charts/Dockerfiles for your service, understand deployment, set up basic monitoring and alerting; Deep knowledge of Python and experience with FastAPI; Experience with the technology stack and databases: PostgreSQL, ClickHouse, Kafka, Redis, Spark; Ability to write clean, maintainable code following best practices and knowledge of architectural patterns; Experience in high-load systems and solving real production tasks; Analytical mindset, systemic thinking, and readiness to independently complete tasks; Advanced knowledge of monitoring tools (Prometheus, Grafana, Opensearch/ELK) and deep experience in DevOps, experience with Triton Inference Server and other ML model deployment tools will be a plus