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Quality Assurance Engineer

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: maino.ai
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Analyst, IT QA Tester / Automation, Data Security, Data Engineer
Job Description & How to Apply Below
Location: Bengaluru

Job Title:

Quality Assurance Engineer

Location:

Bengaluru (WFO)

Experience:

3–6 Years
Team:
Engineering

About Maino.ai
Maino.ai is an AI-driven technology company focused on building innovative and scalable solutions that simplify and enhance business operations. We are a fast-growing team passionate about creating impactful products, moving quickly, and solving real-world problems through technology and creativity. , we value ownership, collaboration, and continuous learning. We offer a dynamic environment where individuals are encouraged to take initiative, contribute ideas, and grow alongside the company.

We process large volumes of analytics data where accuracy is critical — even a small bug in a filter or aggregation can mislead customers. We are looking for a QA Engineer who approaches quality as a system of contracts to validate, challenge, and break.

What you'll do
Own and drive the quality bar across backend services, data pipelines, and reporting systems
Design and execute comprehensive test plans covering edge cases, boundary conditions, and integration failures
Build and maintain automated regression suites (API and end-to-end) integrated with CI pipelines
Validate backend outputs against source-of-truth data using SQL
Identify, reproduce, and document production issues with clear severity and impact
Test asynchronous systems (queues, scheduled jobs, integrations) for race conditions and consistency issues
Define release-gating criteria — what blocks vs. what can ship with known issues
Contribute to QA processes including test data strategy, bug triage, and post-mortems

Must-Have Skills
3+ years of QA experience with strong expertise in API testing (Postman/Newman, REST Assured, or pytest + requests)
Solid SQL skills — joins, aggregations (GROUP BY, HAVING), and subqueries
Strong analytical mindset — ability to think through edge cases (nulls, empty values, incorrect types, etc.)

Experience with multi-tenant systems and data isolation testing
Hands-on experience in test automation (pytest, Jest, Cypress, or Playwright)
Familiarity with CI/CD tools (Jenkins, Git Hub Actions, or similar)
Experience testing asynchronous workflows and integrations
Excellent written communication skills for clear and actionable bug reports

Good to Have

Experience with performance/load testing tools (k6, JMeter, Locust)
Understanding of cloud environments (AWS or similar), caching, and observability tools
Exposure to analytics-heavy or time-series data systems
Experience creating long-lasting test documentation

Nice to Have
Basic scripting knowledge in Python or Node.js
Familiarity with relational and time-series databases
Experience mentoring junior QA engineers or leading bug-bash sessions

Who You Are Not
A manual-only tester without automation or scripting experience
A UI-only automation specialist with limited backend understanding
Someone who treats QA as a checklist instead of an engineering function

Interview Process
Recruiter screening
Technical evaluation (API + SQL)
Practical exercise (take-home or live pairing)
Systems & integration discussion
Final round (culture & collaboration)
We aim to keep the process meaningful and efficient, with decisions shared within one week of the final round.

What you'll get
A strong voice in engineering decisions — QA directly influences release quality
Opportunity to work on systems where your work has real business impact
Mentorship from experienced engineers who value quality as a core function
Competitive salary, equity, health insurance
A flat, fast-moving, and low-process work culture
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