TradingView
Senior Automation QA Engineer
Summary
What you'll do
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.
Responsibilities
- 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.
What makes you the perfect fit
- 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.
- 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).
What we offer you
- 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
- Performance-based bonuses
- 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
Who you are
Today you are a QA professional with backend testing strength, comfortable in a data-heavy environment, and excited by building robust test automation that scales with large data pipelines and services.