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

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

• 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).