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Middle 后端开发者
合同约定
阿塞拜疆巴库
全职远程工作
工作经验
5 年
最近的工作地点
公司受NDA保护
Python Backend Engineer
2 年 6 月
关于我
关于我
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.
Affiliate经验
无数据
工作经验5 年
三月 2024 - 八月 2026
(2 年 6 月)
公司受NDA保护
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.
九月 2021 - 二月 2024
(2 年 6 月)
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).
技能
aiohttp
Pydantic
REST API
WebSocket
Redis
S3
GitLab CI
GitHub Actions
React
Python
Linux
Docker
FastAPI
Typescript
Django
NGINX
PostgreSQL
SQLAlchemy
RabbitMQ
Kafka
语言能力
高级 英语
母语 俄语
就业
就业
全职, 兼职, 项目
工作形式
远程工作, 混合, 办公室
工作时间
灵活, 轮班, 5/2
搬迁
可能
出差
可以出差