JD - Senior Quality Assurance Engineer
Company’s Name: Edgistify
Desired Experience: 2 to 3 years
Desired Qualification: Graduate / Postgraduate (IT / Computers)
Job Location: Thane
A Senior Tester who delivers 2x confidence to Edgistify by owning end-to-end quality assurance for complex distributed systems, proactively identifying reliability and scalability risks, and ensuring production readiness with zero surprises.
About Edgistify
Edgistify operates a sophisticated e-commerce logistics platform with a Warehouse Management System (WMS) and Order Management System (OMS) handling high-throughput order assignment, inventory tracking, and picking workflows. Our platform is built on a scalable, event-driven backend that demands rigorous quality validation at every deployment cycle.
Key Responsibilities
1. Architectural Risk Hunting
Systematically test key technical decisions before implementation to give architects unshakeable production confidence:
· Conduct chaos engineering experiments on critical paths (order assignment, payment processing, inventory sync etc…) to validate Edgistify's system reliability
· Execute load testing and stress scenarios that simulate 10x peak traffic patterns matching company volumes
· Identify single points of failure in distributed system designs through edge-case and failure mode analysis
· Generate pre-deployment "risk scorecards" highlighting vulnerabilities that could impact company SLAs
2. Production Simulation Environment
Create and maintain a "production twin" test environment that accurately mirrors live systems:
· Replicate MongoDB aggregation pipeline patterns and transaction isolation levels used in WMS
· Validate end-to-end flows matching real Edgistify order volumes and data patterns
3. Automated Confidence Pipeline
Build and own CI/CD quality gates that provide team with real-time visibility:
· Implement confidence dashboards showing: 99.9% uptime, <50ms P99 latency, zero data corruption
· Set up contract testing (API contracts, schema validation) to prevent breaking changes
· Generate quality metrics that team use to approve/reject deployments with confidence
4. Pre-Mortem & Failure Analysis
Conduct collaborative "what-if" simulations with team before coding begins:
· Run failure scenario workshops identifying system weaknesses early
· Document failure modes and remediation strategies
· Create runbooks for handling cascading failures in multi-instance deployments
· Reduce debugging effort 2x by identifying issues pre-production.
5. Security & Input Validation Testing
Ensure architecture is hardened against common attack vectors:
· Test JWT authentication flows and session management under load
· Validate input sanitization using Zod and similar frameworks
· Perform OWASP ZAP scans and security regression testing
· Test rate limiting, DDoS resilience, and API throttling mechanisms
Required Technical Expertise
Testing & QA Frameworks
· Unit/Integration Testing: Jest, Supertest, test doubles (mocks, stubs, spies)
· Load & Performance Testing: Apache JMeter
· Chaos Engineering: Chaos Monkey, Gremlin, fault injection patterns
· E2E Testing: Cypress, Playwright
Your Technology Stack
· Cloud Infrastructure: AWS
· Databases: MongoDB (aggregation pipelines, transactions, replication)
· Message Queues: BullMQ, Redis, queue failure scenarios
· Node.js/TypeScript: Service layer testing, async/await patterns, error handling
API & Integration Testing
· REST API Testing: Supertest, request/response validation
· Contract Testing: Pact, OpenAPI schema validation
· End-to-End Workflows: Order journey
· Third-Party Integration: Payment gateway, shipping APIs, webhook testing
Observability & Monitoring
· Metrics & Dashboards: Build and maintain quality and reliability dashboards that communicate system health and release readiness
· Logging & Analysis: CloudWatch, structured logging, log aggregation
· SLA Tracking: Uptime monitors, latency percentile analysis
Security Testing
· OWASP Top 10: OWASP ZAP, Burp Suite basics
· Authentication & Authorization: JWT validation, permission testing
· Input Validation: Payload fuzzing, injection testing, schema validation
· Rate Limiting & DDoS: Throttle testing, distributed attack simulation
Success Metrics (2x Confidence Proof)
Company Confidence
· Engineering teams rate "How confident are you in deploying this?" at 9.5+/10 consistently
· Zero system rework due to unforeseen test failures post-deployment
· Teams request your input before finalizing designs (not after)
Quality Metrics
· Escape Defects: 0 defects reach production (2x better than industry average)
· Defect Detection: 85%+ of bugs caught in testing (not production)
· Test Coverage: 80%+ system path coverage in critical flows
· MTTR Reduction: Mean time to resolution drops 50% through pre-identified failure modes
Deployment & Velocity
· Quality gates pass in <5 minutes, enabling 2x faster release cycles
· Deployment confidence score ≥95% before production pushes
· Zero rollbacks due to test suite gaps
· Team deploy with documented confidence, not blind hope
Cost Impact
· Reduce incident response costs by catching issues early (1:10 ratio early vs production)
· Eliminate expensive production debugging by 60%
· Reduce teams context-switching time by 40%
What Makes You "Awesome"
· You write tests that find bugs architects didn't anticipate
· Your load tests reveal architectural bottlenecks before they hit production
· You create realistic test data generators that simulate 10x Black Friday traffic patterns
· You speak systems language (trade-offs, failure modes, SLA targets)
· You proactively identify and document risks without being asked
· You turn test results into confidence scores that drive Edgistify's deployment decisions
Experience & Qualifications
Required
· 5+ years in QA, Test Engineering, or Quality Assurance roles
· 4+ years testing distributed systems or microservices architectures
· Strong hands-on experience with the frameworks listed above
· Demonstrated ability to identify risks through testing
· Experience with CI/CD pipelines and automated testing at scale
· Portfolio or examples of comprehensive test suites you've built
Preferred
· Experience with Warehouse Management Systems (WMS) or Order Management Systems (OMS)
· MongoDB or NoSQL testing experience
· Node.js/TypeScript backend testing background
· Chaos engineering or failure mode analysis experience
· Open-source contributions to testing frameworks or tools
Interview Process
1. Technical Screen (1 hour): Testing frameworks, architecture concepts, design trade-offs
2. Hands-On Test Design (2 hours): Design a comprehensive test suite for a given system
3. System Design Interview (1.5 hours): How would you build a production-like test environment?
4. Offer & Negotiation
Pay: ₹500,000.00 - ₹900,000.00 per year
Work Location: In person
