AI Summary
We are seeking a Senior Backend QA Automation Engineer to join our Datafeeds team, responsible for building and maintaining robust data pipelines and backend services. The ideal candidate will have a strong focus on backend testing, test design techniques, and implementing Left-Shift testing methodologies. Key requirements include 5+ years of experience in QA, strong programming skills in Python, and experience with test automation frameworks.
Key Highlights
Design, develop, and maintain scalable test automation frameworks
Perform comprehensive functional, integration, and performance testing
Plan, coordinate, and execute production releases
Key Responsibilities
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.
Technical Skills Required
Benefits & Perks
Flexible working hours
Hybrid work format
Relocation support
Nice to Have
Experience in finance or trading domain
Familiarity with TradingView as a product
Deep background in Data Testing (ETL pipelines, big data validation)
Job Description
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About The Team
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.
Our Technology Stack
- Languages & Frameworks: Python, PyTest, Requests
- Databases & Tools: SQL, Git, curl, Postman
- Infrastructure & Monitoring: Linux, Grafana, Prometheus, Zabbix, AWS
- Productivity: Jira, Confluence, AI-assisted development tools
- 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.
Looking to advance your QA & Testing career with relocation support? Explore QA & Testing Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
- 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.
- 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).
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- 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
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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