Backend Developer (Golang, Python) Senior

Company: JSC Saraffan.Radio (Moscow) Location: Russia only, timezone max +/-3 from MSK Format: remote, full-time, Labor Code of the Russian Federation Salary: from 300 thousand rubles net (discussed with the candidate)

The platform backend is currently on Go; we will build some new services in Python – where Go doesn't provide an advantage. Languages are separated by applications, not mixed within.

Responsibilities:

• Designing and developing services using DDD principles.
• Fostering a testing culture: writing unit/integration tests, ensuring the required level of coverage and code testability.
• Code-level observability: metrics, structured logs, and end-to-end request tracing within the services themselves. The infrastructure handles collection and visualization.
• Adopting and defending architectural decisions within the team (C3-C4 contexts from the C4 model), maintaining ADR (Architecture Decision Records).
• Developing the transactional flow (orders and payments): asynchronous inter-service communication, idempotency of monetary operations, transactional outbox, retries, and deferred execution.

Requirements:

• At least 4 years of commercial backend development experience in Go or Python. Proficiency in the second language from day one is not required: we provide onboarding and code reviews within the team.

• Solid knowledge of algorithms and data structures, ability to apply them to solve practical problems.

• Solid experience with PostgreSQL: query optimization, indexes, transactions, isolation levels and locking, understanding execution plans (EXPLAIN), experience with migrations. Experience with ORMs (GORM) with an understanding of the generated SQL.

• Ability to design and implement APIs (REST, gRPC), understanding versioning and contract testing.

• Solid experience with Linux, Docker, Kubernetes (basic understanding/experience writing manifests), setting up CI/CD pipelines.

• Deep understanding of clean code principles, SOLID, DDD, microservices architecture, and distributed systems patterns.

• Solid experience with message brokers (RabbitMQ, Kafka, or similar): understanding delivery guarantees, error handling and dead-letter queues, idempotency, and transactional outbox.

• Plus: experience deploying Python services to production (FastAPI, Django/DRF), experience with payment or financial flows, integration with LLM providers.

AI-assisted development experience: confident use of AI development assistants (e.g., Cursor, GitHub Copilot, Claude Code, Codex) for task decomposition, preparing code drafts, refactoring, writing tests, defect detection, and working with documentation.

Ability to critically review AI-generated results: validate business logic, adherence to architecture and code style, test coverage, performance, security, and licensing risks. Readiness to take personal responsibility for code and technical decisions, regardless of AI tool usage.