Middle Desarrollador backend

    A convenir
    Azerbaiyán
    Bakú
    Tiempo completo
    Trabajo remoto
    Experiencia laboral
    5 años
    Último empleo

    Empresa bajo NDA

    Python Backend Engineer
    2 años 6 meses

    Sobre ti

    Sobre ti

    Python Backend Engineer with 5 years of experience developing production Python services for

    HRTech and education platforms. I build APIs, event-driven integrations and maintainable business

    logic, and work on PostgreSQL performance and CI reliability.

    Experiencia en afiliación

    No hay datos disponibles

    Experiencia laboral
    5 años

    Marzo 2024 - Agosto 2026
    (2 años 6 meses)
    Empresa bajo NDA
    Python Backend Engineer
    • Designed service boundaries and RabbitMQ contracts for HRTech backend decomposition, coordinating and reviewing two developers’ work. Following combined architecture and runtime changes, peak successful HTTP RPS grew from ~1,500 to ~8,000. • Built and shipped a staff activity audit log for an HR platform using Kafka and a transactional outbox. Implemented asynchronous event storage in a separate PostgreSQL database, deduplication by unique UUIDv7 event IDs, a diagnostic dead-letter topic, and role-based access controls. • Replaced a third-party Keycloak integration with an aiohttp client that reduced unnecessary dependencies and eased integration testing. Implemented user and service authorization and user-data updates. • Set up parallel pytest-xdist execution for ~2,000 tests, cutting CI runtime from ~20 to ~1.5 minutes (~13×) with separate test tables per worker. • Extracted ORM-independent Python Use Cases from Django Views/ViewSets (Clean Architecture), cutting module dependencies from ~321 to ~201 (about 37%); consolidated ~13 repeated user retrieval/permission checks and enabled database-free unit tests. • Implemented role-based access with Keycloak OAuth2/OIDC and composite roles, plus time-limited S3 presigned URLs for file access. • Investigated a PostgreSQL candidate-list query after bulk UPSERT with EXPLAIN ANALYZE. Repeated production measurements showed SQL Execution Time falling from ~17 s to ~100 ms and a switch from Seq Scan to an existing Index Scan after autovacuum thresholds were adjusted.
    Septiembre 2021 - Febrero 2024
    (2 años 6 meses)
    LangTech
    Backend Developer & ML Engineer
    • Developed an NLP term extractor for educational-text complexity analysis (spaCy NER, reference dictionaries): ~5 s automated extraction versus ~20 min manual term search and checking per comparable text; linguists validated the automated results separately. • Developed ruBERT-based genre classification models, achieving an F1 score of 0.83 on the validation dataset. • Developed exam variant management and access rules for a Russian-language examination platform for international students. • Developed a Chromium-based Windows application in Visual Studio, restricted to the exam-platform website; helped avoid a ~RUB 500,000 purchase of a third-party proctoring system. • Helped introduce GitFlow and parallel development in a three-developer team: comparable work took ~2.5 instead of ~5 working days (~2× faster).

    Habilidades

    aiohttp
    Pydantic
    REST API
    WebSocket
    Redis
    S3
    GitLab CI
    GitHub Actions
    React
    Python
    Linux
    Docker
    FastAPI
    TypeScript
    Django
    NGINX
    PostgreSQL
    SQLAlchemy
    RabbitMQ
    Kafka

    Dominio de idiomas

    Avanzado Inglés
    Nativo Ruso

    Tipo de empleo

    Tipo de empleo
    Tiempo completo, Tiempo parcial, Por proyecto
    Formato de trabajo
    Trabajo remoto, Híbrido, Presencial
    Horario de trabajo
    Flexible, Por turnos, 5/2
    Reubicación
    Posible
    Viajes de trabajo
    Viajes posibles