Python Engineer

We are looking for a Senior Python Backend Engineer with experience in building cloud-native backend systems on AWS. This role is focused on designing, developing, and maintaining scalable Python services, integrating AI/LLM-based capabilities, working with distributed systems, and ensuring high reliability, observability, and code quality.

Your responsibilities:

• Design, build, and maintain backend services using Python in an AWS-based environment.

• Develop and maintain REST APIs together with clear OpenAPI documentation.

• Implement asynchronous processing and queue-based communication between services.

• Design data access patterns for application features using NoSQL and SQL storage.

• Integrate backend services with internal systems, external APIs, and AI/LLM-based components.

• Implement reliable communication patterns, including retries, timeouts, and circuit breakers.

• Build and maintain operational CLI tooling for day-to-day platform tasks (e.g. content ingestion).

• Contribute to architectural decisions across software and infrastructure as the stack evolves.

• Create observability for distributed systems, including logging, metrics, tracing, and alerting.

• Write automated tests and support high code quality across the backend codebase.

• Contribute to CI/CD processes and deployment automation.

• Collaborate with product, frontend, QA, DevOps, AI/ML teams, and content creators.

• Review code, share knowledge, and raise the bar for engineering practice across the team. 

We are looking for you, if you have:

• 3–5+ years of professional experience in Python backend development.

• Solid understanding of REST API design and OpenAPI standards.

• Experience with asynchronous processing and queue-based architectures, e.g. Celery, SQS.

• Experience with libraries and frameworks such as FastAPI, Pydantic, SQLAlchemy, boto3.

• Hands-on experience with core AWS services such as Lambda, API Gateway, S3, CloudFront, Secrets Manager, IAM, ECS/EKS, CloudWatch, etc. 

• Good knowledge of DynamoDB and NoSQL data modelling.

• Good knowledge of PostgreSQL, SQL, and relational data modelling .

• Experience with both serverless (Lambda) and containerized (ECS/EKS) deployment models.

• Experience integrating with external APIs and third-party services.

• Experience with pytest and automated testing practices.

• Familiarity with CI/CD tools such as GitHub Actions and/or Jenkins.

• Experience with observability tools such as New Relic and CloudWatch.

• Understanding of distributed systems, scalability, reliability, and fault tolerance.

• Ability to apply SOLID principles, clean code practices, and common design patterns.

• Practical understanding of LLM-based applications or AI agentic frameworks.

• Ability to use AI development tools such as Cursor, Claude Code, or GitHub Copilot.

• Experience working in agile software development teams.

• Fluent English, both written and spoken. 

We offer:

• Participation in interesting and demanding projects.

• Flexible working hours.

• A great, non-corporate atmosphere.

• Possibility to work remote or hybrid (2 days per week from the office).

• Opportunities for development and promotion.

• Attractive package of benefits.

We reserve the right to contact the selected candidates.