Senior Automation QA Engineer

16 000 – 26 000 $

на 503% выше медианы рынка

≈ 1,4 млн–2,3 млн ₽

🏢 ОфисMiddleПолная занятостьРелокация

16 000 – 26 000 $≈ 1,4 млн–2,3 млн ₽

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Наша компания

Senior Automation QA Engineer

Чем предстоит заниматься

Design, develop, and maintain scalable test automation frameworks and test suites in Python for backend services and data pipelines

Perform comprehensive functional, integration, and performance testing of backend services, APIs, and data feeds

Plan, coordinate, and execute production releases, ensuring zero-downtime and high quality

Identify bottlenecks in the SDLC and improve QA processes by automating routine tasks and integrating tests into the CI/CD pipeline

Analyze application logs, system metrics, and data anomalies to troubleshoot, isolate, and diagnose complex issues

Collaborate with developers, product managers, and data engineers to clarify requirements, refine user stories, and track issues in Jira/Confluence

Assist the team in researching complex data discrepancies and data quality issues

Наши требования

Senior-level QA Expertise: 5+ years of experience in QA with a strong focus on backend testing, test design techniques, and implementing Left-Shift testing methodologies

Python Proficiency: Strong programming skills in Python with solid experience in test automation frameworks (e.g., PyTest)

Data & SQL: Strong knowledge of SQL and experience validating data integrity and processing across databases

API Testing: Proficient in testing REST/gRPC APIs using automation tools as well as hands-on tools like curl and Postman

Linux & Infrastructure: Comfortable with Linux/Unix environments, command-line tools, and basic shell scripting

Observability: Experience working with application logs and monitoring/metrics tools (e.g., Grafana, Prometheus, Zabbix, ELK) to diagnose system behavior

AI Tooling: Experience leveraging AI assistants (e.g., GitHub Copilot, ChatGPT) to accelerate test generation and code analysis

Soft Skills: Excellent analytical skills, attention to detail, and a proactive mindset towards quality

Wil

Дополнительно

Test Automation: Design, develop, and maintain scalable test automation frameworks and test suites in Python for backend services and data pipelines. Backend & Data Testing: Perform comprehensive functional, integration, and performance testing of backend services, APIs, and data feeds. Release Management: Plan, coordinate, and execute production releases, ensuring zero-downtime and high quality. Process Optimization: Identify bottlenecks in the software development lifecycle (SDLC) and improve QA processes by automating routine tasks and integrating tests into the CI/CD pipeline. Root Cause Analysis: Analyze application logs, system metrics, and data anomalies to troubleshoot, isolate, and diagnose complex issues. Collaboration & Documentation: Work closely with developers, product managers, and data engineers to clarify requirements, refine user stories, and track issues in Jira/Confluence. Data Research: Assist the team in researching complex data discrepancies and data quality issues

TradingView

Georgia

ГрейдMiddle

ЗанятостьПолная занятость

РегионГрузия

ФорматОфис

ИсточникСкрыто

Опубликовано18 июля

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