Senior Automation QA Engineer

Навыки

• Тестирование API
• AWS
• Bash / shell
• CI/CD
• Confluence
• Data Quality
• Git

О компании и продукте

• We are looking for a Senior Backend QA Automation Engineer to join and strengthen our Datafeeds team.
• Our team is responsible for building and maintaining robust, high-throughput data pipelines and backend services that ingest, process, and deliver financial market data. This is a data-heavy environment where performance, accuracy, and reliability are paramount.
• Our engineering culture emphasizes responsibility, transparency, and continuous improvement. In this role, you won't just run tests — you'll have a real opportunity to shape our testing strategies, optimize release processes, and directly influence overall product quality. If you enjoy diving deep into backend architecture, complex APIs, and large-scale data validation, you'll fit right in.
• Languages & Frameworks: Python, PyTest, Requests

Задачи

• 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

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
• Excellent analytical skills, attention to detail, and a proactive mindset towards quality
• Will be a plus
• Experience in finance or trading domain
• Familiarity with TradingView as a product
• Deep background in Data Testing (ETL pipelines, big data validation)
• Hands-on experience with cloud platforms, specifically AWS (S3, EC2, CloudWatch, etc.)
• Experience with CI/CD tools (GitLab CI, Jenkins, or GitHub Actions)

Условия

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• TradingView Premium access
• Regular team events and company-wide meetups
• Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
• TradingView is an equal opportunity employer
• We embrace diversity and are dedicated to fostering a diverse and inclusive workplace
• Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages

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