Weekday logo

QA Engineer - Manual testing

Weekday · Bengaluru

Location
Bengaluru
Experience
1+ years
Funding
$2.32M
Posted
Sep 25, 2026

Weekday is hiring a QA Engineer - Manual testing based in Bengaluru. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.

Apply directly at Weekday

Role details

Weekday - QA Engineer - Manual testing QA Engineer - Manual testing Bengaluru Technology, Information and Media – Technology, Information and Media / Full-time / On-site apply for this job This role is for one of our clients Industry: Technology, Information and Internet Company Name: Scaler AI Labs Inc Seniority level: Associate level Min Experience: 2+ years Location: Bengaluru JobType: full-time ₹7,00,000 - ₹15,00,000 a year About Scaler AI Labs Scaler AI Labs is Scaler’s frontier AI research and engineering division. We build Reinforcement Learning (RL) environments for the world’s leading AI research companies. We ship fast, maintain high quality bars, and work directly with world-class AI researchers. If you want to work at the intersection of product, engineering, and frontier AI , this is the team. Role Overview As a Manual QA Engineer , you will be responsible for validating RL environments before they are shipped to clients. You’ll work closely with developers and product teams to identify bugs, test workflows, validate task graders, and ensure environments meet the required quality bar. What You’ll Do Environment QA Test web applications, UI flows, workflows, and edge cases. Create and execute test cases based on product requirements. Perform functional, regression, exploratory, and negative testing. Identify and document bugs with clear reproduction steps and expected vs. actual behaviour. Re-test fixes and run regression checks before release. Identify gaps in requirements and test coverage. Sign off on environments that meet the quality bar. Task & Grader Testing Test task prompts for clarity, accuracy, and completeness. Verify that tasks can be completed as intended. Test graders for correct pass/fail evaluation. Identify grader bugs, edge cases, false positives, and false negatives. Validate that the final environment state matches the expected task outcome. QA Process Maintain test cases, test plans, and regression checklists. Participate in requirement and feature discussions from a QA perspective. Prioritize bugs based on severity and impact. Work closely with developers to investigate and resolve issues. Manage multiple QA cycles and releases in parallel. What We’re Looking For Must Have 1–3 years of experience in Manual QA / Software Testing . Experience testing web applications or SaaS products. Strong understanding of functional, regression, exploratory, and negative testing. Strong attention to detail and ability to identify edge cases. Ability to write clear and actionable bug reports. Ability to create test scenarios independently. Good understanding of bug lifecycle and severity classification. Strong communication and collaboration skills. Comfortable working in a fast-paced environment with tight deadlines. Willingness to work from our Bangalore office , including flexible shifts when required. Good to Have Experience testing enterprise SaaS or B2B products. Familiarity with Jira, GitHub, Google Sheets, or Postman . Basic understanding of APIs, databases, frontend/backend systems, and data seeding. Experience testing products such as Salesforce, NetSuite, Canva, Power BI, DocuSign , or similar enterprise applications. Experience writing structured test cases and regression suites. Exposure to AI products, LLMs, or AI evaluation. Must-have skills Manual Testing We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job Jobs powered by

More roles at Weekday

Search all engineering roles