QA Architect

12 hours ago

Pune, India AlphaSense Full time

**About AlphaSense**:
AlphaSense is a market intelligence platform used by the world's leading companies and financial institutions. Our AI-based technology helps professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, news, trade journals, and equity research.
- Total of **$525M+** in VC funding - Series D funding in Jun'22 with a valuation of **$1.7B**:

- Trusted by **3,500+** enterprise customers, including a majority of the S&P 500.
- **1000+** people across offices in the U.S., U.K., Finland, and India

**The Role**:
We are seeking an innovative QA Architect to help create the next big thing in data analysis and search solutions. You will join our team of world-class experts developing the AlphaSense platform. The team is right at the very core of what we do and responsible for implementing the cutting-edge technology for scalable, distributed processing of millions of documents.
- Responsible for implementing and measuring automated testing using modern-day testing frameworks.
- Propose & get buy-in for new automation testing tools/frameworks. Then work with QA Leads & Managers to implement it in teams.
- Serving as a guardian for Quality Engineering across the teams

**Must-Have**
- 9+ years of experience in testing with 5+ years of experience with Java or Python
- 3+ experience in frontend automation(Selenium, Cypress, or similar)
- 3+ experience in backend automation(RestAssured, Karate, SOAP UI, Postman, or similar tools)
- Experience in designing & setting up automated test frameworks from scratch
- Awareness of recent developments in test automation practices and patterns
- Understanding of test-driven development and CI/CD
- Strong communication skills and ability to work both in a team environment and independently

**Nice to have**
- Managed team of QA Engineers
- Experience with distributed systems using MicroServices processing millions of data points
- Experience with working on Dockers, K8s
- Working knowledge of cloud services(Specifically AWS)
- Experience with Performance Testing

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