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
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.
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).
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. 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.
Published on: 7/12/2026
TradingView
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
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