Hiring: Senior QA Engineer (Manual + Automation, Playwright, Data/Scraping)
Experience: 5–10+ years (Senior)
Location: Remote / Hybrid
Type: Full-time
About Us – AtTheRate.Ai
AtTheRate.Ai is building the next-generation Marketing AI Operating System — a platform where autonomous AI agents plan, analyze, and execute campaigns across Google, Meta, LinkedIn, Amazon, Flipkart, Blinkit , and more.
We’re not building another dashboard.
We’re building an AI-native command center that marketers use to orchestrate, optimize, and automate campaigns in real time.
As a Senior QA Engineer , you’ll own quality across critical systems: agent workflows, analytics correctness, scraping/data pipelines, integrations, and end-to-end reliability .
Who This Role Is For
We’re not looking for QA engineers who just “run test cases.” We want quality leaders who:
- Think in systems , not tickets
- Break products before customers do (and document it so it gets fixed fast)
- Build durable automation that teams trust (not flaky tests)
- Understand data correctness and edge cases in real-world SaaS
- Use AI tools (Claude, copilots, test-gen) to move faster without losing rigor
- Push for better observability, reproducibility, and release confidence
If you’re the person people rely on when a release must not fail — you’ll thrive here.
What You’ll OwnProduct & Platform Quality
- Own QA for web apps built with Next.Js, Node.Js, Python
- Define and maintain test strategy : smoke, regression, E2E, integration, and release sign-off
- Validate UX, reliability, permissions/auth flows, and role-based access
- Ensure analytics & metrics correctness (numbers must match reality)
Automation (Playwright-First)
- Build and maintain Playwright automation at production scale
- Improve test reliability: flakiness reduction , trace debugging, deterministic environments
- Create reusable helpers for selectors, fixtures, auth states, test data , and environments
- Run tests in CI/CD with clean reporting and fast feedback loops
Scraping / Data-Heavy QA (Core Requirement)
- Test workflows involving scraping, crawlers, proxies, anti-bot behavior, and large datasets
- Validate data pipeline outputs: completeness, correctness, deduplication, drift detection
- Design tests for rate limits, retries, concurrency, timeouts, partial failures
- Build confidence in systems that run across many categories/locations/platforms
Collaboration & Leadership
- Partner with engineering/product from PRD → design → rollout
- Raise quality standards with clear risk assessments , bug reports, and prioritization
- Propose improvements to tooling, environments, and release process
- Mentor junior QAs or help developers write better testable code
Must-Have Skills / Requirements
- 5+ years in QA (manual + automation) for web products
- Strong Playwright experience (TypeScript/JavaScript preferred)
- Experience testing scraping/data ingestion systems or automation that interacts with real websites
- Strong debugging mindset: logs, traces, HAR, network inspection, console errors
- API testing (REST), Postman or equivalent, plus ability to automate API checks
- SQL fundamentals (Postgres preferred): validating data integrity and outputs
- Experience with CI/CD test execution (GitHub Actions / GitLab / similar)
- Can design test plans independently and push them to execution
Bonus Points
- Experience testing AI-driven systems (non-determinism, evaluation, regression safety)
- Experience with distributed jobs/queues (Queues, workers, cron pipelines)
- Experience with Dockerized environments and test environments/staging parity
- Building internal QA tools, test dashboards, or data validation harnesses
- Exposure to ad-tech / marketing platforms / ecommerce analytics
What You’ll Get
- Real ownership of quality in a high-velocity AI startup
- Freedom to shape QA strategy (not just execute it)
- Competitive compensation + growth path to QA Lead / QA Automation Lead
- A team that values speed and engineering discipline
Interview Process (Fast. Real. No fluff.)
You get one shot.
20 minutes to prove what you’re capable of.
You’ll be given a real product scenario (data-heavy + UI + integration), and asked to:
- Identify key risks, edge cases, and failure points
- Describe your test strategy (manual + automation)
- Explain how you’d build Playwright coverage that is fast + non-flaky
- Show how you’d validate scraping/data correctness and pipeline stability
- Demonstrate how you use AI tools to accelerate your work without lowering quality
No long rounds. No theory quizzes.
If you show sharp thinking and ownership — we move fast.
If you want to ensure quality in a product shaping the future of AI-powered marketing — apply now and join AtTheRate.Ai …