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Middle Développeur backend
À négocier
AzerbaïdjanBakou
Temps pleinTélétravail
Expérience professionnelle
5 ans
Dernier emploi
Entreprise sous NDA
Python Backend Engineer
2 ans 6 mois
À propos de vous
À propos de vous
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.
Expérience en affiliation
Aucune donnée disponible
Expérience professionnelle5 ans
Mars 2024 - Août 2026
(2 ans 6 mois)
Entreprise sous 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.
Septembre 2021 - Février 2024
(2 ans 6 mois)
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).
Compétences
aiohttp
Pydantic
REST API
WebSocket
Redis
S3
GitLab CI
GitHub Actions
React
Python
Linux
Docker
FastAPI
TypeScript
Django
NGINX
PostgreSQL
SQLAlchemy
RabbitMQ
Kafka
Maîtrise des langues
Avancé Anglais
Natif Russe
Type d’emploi
Type d’emploi
Temps plein, Temps partiel, Mission / projet
Format de travail
Télétravail, Hybride, Présentiel
Horaires de travail
Flexible, Travail posté, 5/2
Relocalisation
Possible
Déplacements professionnels
Déplacements possibles