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Software Quality Assurance Team Lead

Job in 411001, Pune, Maharashtra, India
Listing for: Kartavya Technology
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, AI Engineer
Job Description & How to Apply Below
Company Description
Kartavya Technology is a Venture Builder that focuses on creating and scaling AI-driven companies from India with global impact. This role is for one of our client which is a GCC based out of Pune. They are a US based product company in IIOT.

Role Overview
We are looking for a  hands-on QA Automation Leader  who can define and scale the automation strategy for our industrial edge computing platform.
You will:
Architect next-generation test automation frameworks
Lead and mentor QA engineers
Integrate automation deeply into CI/CD pipelines
Ensure system reliability across edge devices, microservices, and cloud integrations
Drive innovation using AI-powered testing strategies
This role requires someone who combines  technical depth, systems thinking, and leadership maturity .

What You Will Own
1️⃣ Automation Architecture & Strategy
Design and evolve automation frameworks using:
Playwright and/or Cypress
Cucumber (BDD)
Architect API automation for:
REST
GraphQL
Web Socket
Implement contract testing for microservices
Enable SSH/CLI-based validation for Linux edge devices
Ensure multi-tenant and OEM-branded platform validation
2️⃣ Edge & Industrial Systems Quality
Validate industrial protocols such as:
OPC UA
MQTT
Modbus
Ether Net/IP
Test SCADA/DCS/PLC integrations
Validate high-frequency data ingestion pipelines
Ensure resilience across:
Offline modes
Upgrade persistence
License activation systems
Disaster recovery scenarios
3️⃣ Dev Ops & CI/CD Integration
Own and optimize automated test execution in:
Git Lab CI / Jenkins / Git Hub Actions
Enable container-based test execution using:
Docker / Podman
Kubernetes (k8s)
Implement parallel test orchestration
Integrate reporting via Jira, Slack, Allure, etc.
Drive automated failure analysis and intelligent reruns
4️⃣ AI-Driven Testing Innovation
Implement AI-based test selection and prioritization
Explore ML-based anomaly detection in edge systems
Leverage AI for:
Visual regression
Log intelligence
Performance prediction
Drive intelligent test orchestration with tag-based filtering
5️⃣ Leadership & Organizational Impact
Lead and scale QA teams
Mentor engineers in automation-first culture
Define QA KPIs and quality metrics
Collaborate with Product, Engineering, and Dev Ops
Build a culture of ownership and engineering excellence

What We’re Looking For
Mandatory
8+ years in QA / Automation
5+ years in senior or lead capacity
Deep hands-on experience in:
Playwright and/or Cypress
JavaScript / Type Script
Cucumber (BDD)
Strong Linux fundamentals
API automation expertise (REST + Graph

QL)
CI/CD integration experience
Containerization knowledge (Docker required; Kubernetes preferred)
Strongly Preferred
Experience in:
Industrial IoT
Edge computing
Embedded systems
Manufacturing platforms
Contract testing (PACT or similar)
Performance and soak testing (k6, JMeter)
Microservices architecture validation
Multi-tenant SaaS testing
AI-driven testing initiatives

What Makes This Role Unique
Work on edge systems deployed in global manufacturing plants
Define automation architecture at platform scale
Collaborate with global technology leaders
Lead innovation in AI-powered quality engineering
Build QA maturity inside a high-growth Silicon Valley company
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