Panchpakhadi Thane Maharashtra Service engineer Jobs – 2953 Open Jobs Today

Senior Quality Assurance Engineer
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Junior Design Engineer-Trainee
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CannonDesign —Mumbai, Maharashtra
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Senior Quality Assurance Engineer

Optisupply Chain solution Private Limited
Wagle Estate, Thane, Maharashtra

Quick apply

Job details

Full-time
₹5,00,000 - ₹9,00,000 a year
2 hours ago

Qualifications

CI/CD
Cloud infrastructure
Node.js
Software deployment
System design
Test automation
NoSQL
Warehouse management system
MongoDB
Microservices
AWS
Analysis skills
Quality assurance
Bachelor's degree
Distributed systems
Continuous integration
Redis
REST
Burp Suite
APIs
Apache
TypeScript

Full job description

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

Quick apply

Refine Your Search

service engineer jobs in panchpakhadi thane maharashtra

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