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 – 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

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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

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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

- If you want, paste the “linked job posting” URL text or tell me which platform (LinkedIn / Indeed / your careers page), and I’ll also rewrite this into that platform’s ideal format (headline + must-have bullets + screening questions).