Senior QA Engineer
CUBE is a global RegTech company providing AI-powered regulatory intelligence solutions. This Senior QA Engineer role involves owning both manual and automated testing, establishing robust quality frameworks, and collaborating with cross-functional teams to improve release readiness. The ideal candidate brings 6-8 years of experience with automation tools like Selenium or Playwright and CI/CD pipelines. This is a high-impact individual contributor role focused on shifting quality practices left.
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Experience
6-8 years
Function
Quality Assurance
Work mode
Onsite, India
Company
Tier 2
What you will work on
CUBE is a global RegTech company providing AI-powered regulatory intelligence solutions. This Senior QA Engineer role involves owning both manual and automated testing, establishing robust quality frameworks, and collaborating with cross-functional teams to improve release readiness. The ideal candidate brings 6-8 years of experience with automation tools like Selenium or Playwright and CI/CD pipelines. This is a high-impact individual contributor role focused on shifting quality practices left.
TAL's take
Solid role at an established RegTech company with clear ownership and defined goals, though it falls short of Tier 1 branding.
The JD is highly specific regarding expectations, deliverables, and the required technical stack for a QA professional.
Must haves
- 6-8 years experience in software quality assurance
- Strong hands-on expertise in automation frameworks (Selenium, Playwright, Cypress, RestAssured)
- API testing proficiency (Postman, REST API)
- Experience with performance testing (JMeter, k6)
- Proficiency in Python, Java, or JavaScript
- Experience with CI/CD pipelines (Jenkins, GitHub Actions)
Tools and skills
Nice to have: ai/ml, wcag.
About the company
Established global RegTech company with significant scale, but does not meet the specific criteria for Tier 1 flagship status.
Posts mentioning CUBE
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The AI, nicknamed 'Claudius,' proved to be a comically inept shopkeeper. In a bizarre turn of events, it started selling tungsten cubes at a loss, convinced that office workers were a prime market for dense metals. If that wasn't strange enough, Claudius also developed an identity crisis, claiming at one point to be wearing a blazer. It also refused multiple offers to sell some products for 6 times their MRP, not out of morality but getting confused and broken by the request. Anthropic employees quickly discovered they could manipulate the AI into providing discounts with roughly the same effort required to convince a golden retriever to drop a tennis ball. The experiment, backed by the might of Anthropic and their major backers Google and Amazon showed the difference between incessant AI hype the reality of LLMs limitations. https://venturebeat.com/ai/can-ai-run-a-physical-shop-anthropics-claude-tried-and-the-results-were-gloriously-hilariously-bad/
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