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Python Developer (Automation and CV), 150 000 UAH

Employment type:
full-time
City of residence:
Bilhorod-Dnistrovskyi
Ready to work:
Kyiv, Lviv, Odesa, Remote

Contact information

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Work experience

QA engineer

from 07.2021 to 08.2025 (4 years 2 months)
TiVo/Xperi inc., Odesa (IT)

Distributed Systems & IoT: Architected and deployed a high-scale IoT management platform (Backend, Frontend, and Client) to orchestrate and monitor 1,300+ edge devices. Optimized internal API workflows, resulting in a 10x performance boost for device management tasks.

Designed and deployed a distributed async microservice for video quality testing using Python, Flask, Celery/Redis, RabbitMQ-based RPC workers, Docker, and CI/CD pipelines (Jenkins), supporting multiple concurrent sessions and real-time video/audio analysis with automatic task scheduling and cleanup (CeleryBeat) delivering 95% test automation coverage for broadcast/streaming products.

Computer Vision & Media Engineering: Developed real-time media processing services using OpenCV and Gstreamer for automated video quality assessment (VQA) and AV synchronization. Built custom modules for motion detection and OCR to validate streaming performance at scale.

Cloud Infrastructure & Orchestration: Orchestrated high-availability services using Docker and Kubernetes, ensuring environment consistency and streamlining the deployment of internal tools.

Observability & Data Engineering: Designed and implemented comprehensive observability frameworks using Splunk to handle large datasets. Reduced incident detection and resolution time by 60% through proactive monitoring and automated alerting.

Internal Tooling & CI/CD: Engineered scalable developer tools and optimized Jenkins pipelines, reducing software delivery cycles by 20% and significantly decreasing manual operational overhead.

Technical Leadership: Provided technical mentorship for cross-functional teams, establishing high standards for code quality and system reliability.

Junior Python Backend Developer

from 12.2020 to 06.2021 (7 months)
Avada-Media, Remote (IT)

Backend: Built RESTful APIs using Django, resulting in a 30% reduction in development time for new features due to a more modular architecture.
Databases: Optimized PostgreSQL and MySQL data structures, boosting internal tool query performance by up to 50%.
Automation: Created Python scripts to automate development tasks, saving an estimated 5 hours per week in routine work and leading to an interest in Test Automation.
Code Quality: Conducted code reviews and implemented unit tests, maintaining a code coverage of over 85% and ensuring high maintainability.

Education

State University of Intelligent Technologies and Telecommunications, Odesa, Ukraine

Software engineering, Odesa
Higher, from 2020 to 2022 (2 years)

Software engineering - Master's degree

O.S. Popov Odesa National Academy of Telecommunications

Computer Science, Odesa
Higher, from 2018 to 2020 (2 years)

Graduated with honours

Knowledge and skills

  • Python
  • Django
  • HTML
  • CSS
  • Git
  • JavaScript
  • Linux
  • Docker
  • JQuery
  • Django Rest Framework
  • Ubuntu
  • Nginx
  • PC User
  • AJAX
  • REST API
  • Linux Mint
  • Swagger
  • Hardware
  • SQL databases (PostgresSQL, SQLite3,...)
  • SQL
  • Knowledge of OOP principles
  • Communicability
  • PostgreSQL
  • MySQL
  • SQLite
  • FastAPI
  • GitHub
  • Flask
  • Bootstrap
  • REST
  • Celery
  • Redis
  • RabbitMQ
  • Jenkins
  • Golang
  • AWS
  • OpenCV
  • PyTest

Language proficiencies

  • Ukrainian — fluent
  • English — advanced

Additional information

Experienced IT Engineer with 4+ years in software development and advanced test automation. I focus on high-performance microservices and scalable CI/CD pipelines using Python, Flask, Docker, Kubernetes, and Jenkins, which speeds up release cycles by 20%. Developed and optimized Python-based backend services that streamlined engineering workflows, resulting in a 90% reduction in operational time. Developed computer vision service and asynchronous processing to build an automated quality-control engine improving defect detection rate by 50% and test coverage by 40%.

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