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Location: India
Department: Customer Engineering
We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
Own end-to-end product quality across AI workflows: Test Windsurf and Devin across onboarding flows, chat interactions, multi-file edits, agentic task execution, and autonomous workflows—thinking like a developer and testing like a user.
Design and execute comprehensive test strategies: Build and run functional, regression, integration, exploratory, and E2E test plans across product surfaces and releases.
Break down complex flows into testable scenarios: Identify edge cases, race conditions, state recovery failures, and real-world usage patterns that only emerge in production-like behavior.
Issue reproduction, documentation, and debugging: Reproduce, document, and debug issues across layers—distinguishing between UI defects, orchestration/system issues, and unexpected AI behavior; work with engineering and product to drive resolution.
Release readiness and quality bar ownership: Partner with engineering and product to define “done,” set quality standards, and ensure releases meet the expectations of real developers.
Build scalable QA processes and automation: Establish QA playbooks, test processes, and automation where it has leverage; help evolve CI/CD and testing practices as the product scales.
5+ years of QA/Test Engineering experience testing complex product workflows (multi-step user journeys, cross-surface interactions, and E2E behavior).
Deep expertise in functional, regression, exploratory, integration, and end-to-end testing methodologies.
Strong developer mindset: comfortable reading/writing code (Python, TypeScript, or similar), navigating codebases, and reasoning about systems.
User-first testing approach: you test from the perspective of real users, not just against a spec.
Exceptional attention to detail and strong debugging instincts; able to communicate clearly and precisely in bug reports and triage.
Familiarity with CI/CD and test automation frameworks; comfort working in fast-moving, release-driven environments.
Schedule flexibility: overlap with US time zones required; release cycles may require weekend availability.
Experience testing AI-powered products with non-deterministic outputs; ability to evaluate quality when responses vary.
Experience testing IDE plugins/extensions or developer tools (VS Code extensions, CLIs, code review systems).
Familiarity with AI coding tools (Windsurf, Copilot, Cursor, Devin, etc.) and informed opinions on what “good” looks like.
Prior software engineering background with shipped production code.
Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws.
Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement.
From live job posts on CoreHRx, updated 11 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 817 posts).
The post asks for 5 Yrs experience.
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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