Constructor is hiring a Senior Software Engineer (Python + Rust)

Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. The type of contract is a full-time legal agreement in Bulgaria, Serbia, and Turkey, not a B2B contract. Duties and Responsibilities: • Design and implement backend services in Rust within a microservices architecture. • Maintain and evolve existing Python services (FastAPI) where it's the right tool for the job. • Write maintainable, testable, and performant code; participate in code reviews and raise the engineering bar across the team. • Work with QA and DevOps to improve reliability, observability, and performance of our services. • Contribute to architectural decisions: choosing the right language for each problem, inter-service communication patterns, and data modeling. Qualifications and Experience: • 5+ years of professional backend development experience. • Solid production experience with Rust (minimum of 3 years). • Strong Python: FastAPI or similar modern frameworks, asynchronous programming (asyncio), and type-driven development (mypy, pydantic). • Deep understanding of microservices and communication patterns: sync/async, event-driven, message brokers (Kafka / RabbitMQ / NATS), gRPC/REST. • Working-level PostgreSQL: indexes, transactions, isolation levels, locking, query plans. • SOLID, dependency injection, and clean architecture — applied in practice, not just in theory. • Working knowledge of k8s, containers, networking, and CI/CD. • English B2 or higher. Nice to Have but not Obligatory: • Experience migrating Python services to Rust under real load (with measurements and clear motivation). • Exposure to vector databases (e.g., Qdrant). • Experience integrating with LLM APIs (OpenAI, Anthropic). • Familiarity with LangChain / LangGraph and RAG