Senior Quality Assurance Engineer

Hiring:
Senior QA Engineer (Manual + Automation, Playwright, Data/Scraping)

Experience:

5–10+ years (Senior)

Location:

Remote / Hybrid
Type:  Full-time

About Us – At The Rate .ai At The Rate .ai is building the next-generation  Marketing AI Operating System  — a platform where autonomous AI agents plan, analyze, and execute campaigns across  Google, Meta, Linked In, 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 Own Product & 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 (Type Script/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 (Git Hub Actions / Git Lab / 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  At The Rate .ai
If you want, paste the “linked job posting” URL text or tell me which platform (Linked In / Indeed / your careers page), and I’ll also  rewrite this into that platform’s ideal format  (headline + must-have bullets + screening questions).