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QA Lead – Connected Vehicle IoT Platform

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Onsite

QA Lead – Connected Vehicle IoT Platform

TATA ELXSI

QA Lead – Connected Vehicle IoT Platform

Skills

DynamoDBDockerPythonJavaTesting & QAMicroservicesAWS LambdaJenkinsPostmanSeleniumCypressCybersecurityAIAWSGitHubKubernetesOracleMQTTComplianceJavascriptAzure

2 months ago

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Important information


Work mode:

Onsite

Published on:

14 August 2026

What they need


Key Responsibilities:

  • Define QA processes for end-to-end IoT data flows spanning vehicle, middleware, cloud, and application layers.
  • Develop comprehensive test plans, validation matrices, and test cases covering functional, integration, performance, and security testing.
  • Design and execute test cases for:
    Ignition ON event flows (middleware cloud
    • application).
    • Data ingestion layers including decoding, rule execution, persistence, and forwarding.
    • Cloud processing workflows including payload enrichment and latency validation.
    • Application layer functionality including UI accuracy and real-time updates.
  • Validate end-to-end latency, data integrity, reliability, and error-handling scenarios.
  • Develop and implement automated testing frameworks for APIs, microservices, and user interfaces.
  • Utilize tools such as Selenium, Cypress, REST Assured, and Appium.
  • Integrate automated testing into CI/CD pipelines using Jenkins and GitHub Actions.
  • Conduct performance, scalability, and load testing for connected vehicle ecosystems supporting 1 million+ vehicles.
  • Validate compliance with automotive standards including ISO 21434 (Cybersecurity) and ISO 26262 (Functional Safety).
  • Support security testing activities including TLS validation and penetration testing.
  • Generate daily and weekly QA dashboards highlighting defect trends, test coverage, risks, and quality metrics.
  • Present test status, quality reports, and risk assessments to customer stakeholders.
  • Act as the primary QA point of contact for customer reviews and discussions.
  • Leverage Generative AI tools for:
    • Automated test case creation from requirements.
    • Intelligent defect analysis and root cause prediction.
    • Test data generation for edge-case scenarios.

Required Technical Skills:

  • Automation Testing: Selenium, Cypress, Appium, REST Assured, Postman
  • Performance Testing: JMeter, Gatling
  • IoT & Middleware Testing: MQTT, CAN Bus Simulators, Telematics Protocols
  • Cloud Testing: AWS IoT Core, Lambda, API Gateway, DynamoDB
  • CI/CD & DevOps: Jenkins, Docker, Kubernetes
  • Security Testing: TLS Validation, Penetration Testing Tools
  • Programming: Java, Python, or JavaScript
  • GenAI Tools: Exposure to AI-driven QA platforms such as Testim, Mabl, or custom LLM-based testing solutions

Preferred Qualifications:

  • Understanding of automotive platforms and data flow across vehicle, middleware, cloud, and application layers.
  • Familiarity with cloud platforms such as AWS, Azure, Oracle Cloud, or equivalent cloud ecosystems.
  • Experience with connected vehicle and telematics platforms is an added advantage.

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