QA Lead - Connected Vehicle IoT Platform
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Description
Tata Elxsi works with leading OEMs and suppliers in the automotive & transportation industries for R&D, Design and Product Engineering Services, right from architecture to launch and beyond. We bring together technologies that accelerate development & testing of connected autonomous and electric cars & off-highway vehicles.
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.
Skills
- AI
- API
- API Gateway
- Appium
- Automation
- AWS
- Azure
- Can Bus
- CI/CD
- Cloud
- Cybersecurity
- Cypress
- Data Ingestion
- DevOps
- Docker
- DynamoDB
- Gatling
- Generative AI
- GitHub
- GitHub Actions
- IoT
- Iso 26262
- Java
- JavaScript
- Jenkins
- JMeter
- Kubernetes
- Lambda
- LLM
- Microservices
- MQTT
- Oracle
- Penetration Testing
- Postman
- Python
- REST Assured
- Risk Assessment
- Selenium
- Test Automation
- TLS