Widok CV
Middle Programista backend
Do negocjacji
AzerbejdżanBaku
Pełny etatZdalnie
Doświadczenie zawodowe
5 lat
Ostatnie doświadczenie zawodowe
Firma pod NDA
Python Backend Engineer
2 lata 6 miesięcy
O mnie
O mnie
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.
Doświadczenie afiliacyjne
Brak danych
Doświadczenie zawodowe5 lat
Marzec 2024 - Sierpień 2026
(2 lata 6 miesięcy)
Firma pod 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.
Wrzesień 2021 - Luty 2024
(2 lata 6 miesięcy)
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).
Umiejętności
aiohttp
Pydantic
REST API
WebSocket
Redis
S3
GitLab CI
GitHub Actions
React
Python
Linux
Docker
FastAPI
TypeScript
Django
NGINX
PostgreSQL
SQLAlchemy
RabbitMQ
Kafka
Znajomość języków
Zaawansowany Angielski
Ojczysty Rosyjski
Typ zatrudnienia
Typ zatrudnienia
Pełny etat, Część etatu, Projektowo
Tryb pracy
Zdalnie, Hybrydowo, Biuro
Grafik pracy
Elastyczny, Zmianowy, 5/2
Relokacja
Możliwa
Wyjazdy służbowe
Możliwe wyjazdy służbowe