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Nikolay Filippov
Senior SDET · Python · Moscow
I build test automation that catches bugs before users do — from REST APIs and WebSockets to voice AI agents.
- 4+
- years in QA & automation
- +20%
- product conversion uplift via n8n automation
- 300K+
- error records categorised and analysed
- 2
- projects taken from zero to release
01 · Quality engineer
About me
I am an SDET — an engineer who writes code to test code. I went from a QA assessor at Yandex Crowd to an SDET on an AI product, automating away manual routine at every step.
I have taken two projects from zero to release end to end: process, documentation, automated tests, release regressions. I have worked with web and mobile apps (iOS/Android), APIs, WebSockets and voice AI agents built on TTS + STT + LLM.
I always look for the balance between engineering rigour and business value: reports that both developers and managers can read, metrics you can actually rely on, automation that pays for itself.
Beyond code — leadership: mentoring QA teams, building a grading system and team playbooks, tracking workload metrics. That is what makes a senior: the processes keep working even without them.
- Location
- Moscow · remote or on-site
- Mobility
- Open to relocation and business trips
- Languages
- Russian — native · English — B1
- References
- Georgy M., Head of Product, Insapp — on request
02 · Toolbox
Skills & stack
No made-up progress bars — only what I actually work with.
Test automation
- Pytest
- Selenium
- Faker
- Allure Report
- REST API
- WebSocket
- Swagger
- Postman
- Charles
CI/CD & infrastructure
- CI/CD pipelines
- Docker Desktop
- Linux
- Crontab
- Miniconda
- SSH
Data & observability
- MS SQL Server
- PostgreSQL
- RabbitMQ
- Sentry
- Grafana
- Kibana
AI engineering
- LLM
- Prompt Engineering
- PyTorch
- n8n
- Cursor
- TTS / STT
Process & leadership
- Test IT
- Zephyr Scale
- Jira
- Yandex Tracker
- Mentoring
- Grades & playbooks
03 · 4 years 4 months
Experience
-
Target AI
SDET (Python)
- Design test scenarios validating AI-agent behaviour over HTTPS and WebSocket
- Built a framework for automated testing of synthesised voice (TTS)
- Write and maintain the API regression suite for the AI-agent management platform
- Wired automated tests into CI and set up the testing pipeline
- Shipped reporting: a custom-branded Allure report for engineers and a Telegram bot digest for the business
- Fully involved in the development cycle of modern AI agents (TTS + STT + LLM)
- Python
- Pytest
- WebSocket
- TTS/STT/LLM
- Allure
- CI/CD
-
Diamant Insurance (Insapp)
Lead Test Engineer
- Python test automation (Selenium, Pytest): cron-scheduled runs reporting to a Telegram channel, later moved into CI/CD
- Built an n8n automation scenario that lifted product conversion by 20%
- Categorised 300K+ error records (MS SQL Server) and surfaced their share of the total volume
- Set up a unified test-automation repository: structure, miniconda, logging
- Fully configured Yandex Tracker for the company processes during the move from Jira; wrote team playbooks and tracked department metrics
- Brought AI tools into the QA workflow and moved the team to Cursor for test development
- Python
- Selenium
- MS SQL
- n8n
- CI/CD
- Yandex Tracker
-
Chatapp
QA Team Lead
- Mentored the QA team: goals, priorities, task tracking and reporting; introduced a grading system and playbooks
- Developed front-end test automation (Python, Selenium, Pytest)
- Ran API load testing at high request rates (RPS) with Postman
- Worked with the RabbitMQ message broker; analysed and reproduced errors from Sentry
- Tested iframe integrations, mobile web layouts and PWA — down to pixel-perfect checks
- Team Lead
- Python
- RabbitMQ
- Sentry
- Load testing
-
Stroylandiya
QA Engineer
- Built the QA process for a native iOS app from scratch to release, including regression and design checks
- Tested web, PWA and mobile apps (iOS/Android) on emulators and real devices
- Kept test stands up to date by deploying Git branches with fixes over SSH
- Analysed logs in Kibana, monitored performance and reacted quickly to post-release issues
- Maintained docs in Test IT, reviewed test cases, built pairwise tables; mentored junior QA engineers
- iOS/Android
- PWA
- Kibana
- Test IT
- Mentoring
-
Stilsoft
QA Engineer
- Ministry of Defence project: a web application inside a hardware-software complex on a local network
- Back-end testing: data analysis in PostgreSQL, API testing in Postman
- Tested complex calculation features producing PDF documents with charts, diagrams and tables
- Maintained test documentation in Zephyr Scale; worked on Astra Linux
- PostgreSQL
- Postman
- Zephyr Scale
- Astra Linux
-
Yandex Crowd
QA Assessor (intern)
- Manual testing of tracker tasks, filing bug reports
- Mobile testing via device emulators
- Writing test documentation
- Manual QA
- Mobile
- Docs
Education
-
2025 — 2027
M.Sc. (in progress) · Stavropol State Agrarian University
Faculty of Digital Technologies — Information Systems Development & Maintenance
-
2025
B.Sc. · Stavropol State Agrarian University
Higher education
-
2023
Innopolis University
Institute of Continuing Education — Programming & Databases
-
2021 — 2023
Courses & professional reading
Skillbox: Automated Testing in Python, SQL for Data Analysis; Functional Software Testing course; books by Gerald Weinberg and Rex Black
04 · Problem → solution → impact
Case studies
Target AISDET (Python)
Voice under test: a TTS testing framework
Problem
A voice AI-agent platform (TTS + STT + LLM) talks over HTTPS and WebSocket. No off-the-shelf tooling existed to routinely validate synthesised speech quality and agent behaviour.
Solution
- Built a dedicated automation framework for testing synthesised voice (TTS)
- Created scenarios validating AI-agent behaviour over HTTPS and WebSocket
- Assembled the platform API regression suite and wired it into the CI pipeline
Impact
Voice-agent regression now runs automatically in CI. Reporting serves two audiences: a custom-branded Allure report for engineers and a Telegram bot digest for the business.
- Python
- WebSocket
- TTS/STT/LLM
- Allure
- CI/CD
Diamant Insurance (Insapp)Lead Test Engineer
Automation that moved a business metric
Problem
The insurance product needed more than stable releases: hundreds of thousands of error records sat unused, and manual routine was eating into conversion.
Solution
- Built an n8n automation scenario that closed a manual gap in the funnel
- Categorised 300K+ error records in MS SQL Server and surfaced category shares
- Moved test automation from cron runs with Telegram reports to a full CI/CD pipeline
Impact
Product conversion grew by 20%. The team got a transparent error picture and a unified test repository with clean structure, miniconda and logging.
- n8n
- MS SQL Server
- Python
- CI/CD
ChatappQA Team Lead
A QA team that runs as a system
Problem
The QA team lacked structure: without grades, playbooks and transparent reporting, both engineer growth and testing timelines were unpredictable.
Solution
- Introduced a grading system and playbooks for QA
- Set up mentoring: goals, priorities, progress tracking and reporting
- In parallel — hands-on engineering: front-end automation, API load testing (RPS), RabbitMQ, Sentry
Impact
The team shipped in predictable weekly sprints, with clear testing timelines and a growth path for every engineer.
- Leadership
- Grades
- Load testing
- RabbitMQ
StroylandiyaQA Engineer
An iOS release from a blank page
Problem
The retailer was shipping a native iOS app, but the company had no mobile QA process at all — no documentation, no regression, no device coverage.
Solution
- Built the QA process from scratch: documentation in Test IT, test-case reviews, pairwise tables
- Covered emulators (Android Studio, Xcode) and real devices; design checks and regression testing
- Maintained test stands myself (Git branches over SSH) and watched production through Kibana
Impact
The app reached release with regression and design checks in place. The process outlived the launch — picked up by the junior QA engineers I mentored.
- iOS
- Test IT
- Kibana
- Mentoring
05 · Contact
Let's work together
I am currently employed and not actively looking, but a strong SDET / QA Lead offer is always worth a conversation — full-time, Moscow, remote or on-site; relocation is possible. Email or Telegram works best.