About Cloudwick
Cloudwick, an AWS-certified data lake and advanced analytics partner established in 2010 and headquartered in California, is at the forefront of data-driven transformation. We specialize in empowering organizations to harness their data's potential for profound insights. Our in-house creation, Amorphic Data Cloud, drives our commitment to innovation by integrating seamlessly with over 70+ AWS services to provide unified data governance, security, and advanced AI/ML capabilities.
About the Role
We are seeking an exceptionally qualified Senior QA Engineer (8–12 Years Experience) to take full ownership of the end-to-end quality, performance, and reliability of our enterprise cloud platforms.
In this role, you will lead the quality strategy across the entire product ecosystem. You will drive high-scale Load, Performance, and Scalability testing, architect UI and API automation solutions across modern tools and frameworks, and navigate complex application dependencies in multi-tenant cloud environments (AWS). Additionally, you will pioneer the adoption of Claude, Agentic AI, and autonomous workflows to solve real-time, complex testing challenges and accelerate quality engineering.
Key Responsibilities
- Product-Wide Quality Ownership: Define, execute, and own the holistic QA and test automation strategy across all application tiers, handling complex application architectures with heavy cross-system dependencies.
- Load, Scale & Performance Engineering: Architect and execute comprehensive performance, stress, volume, and endurance testing suites to ensure product resilience under enterprise-scale traffic and workloads.
- Multi-Framework UI & API Automation: Design, build, and maintain scalable, robust automation frameworks across various UI (e.g., Selenium, Playwright) and API (REST, SOAP, GraphQL, gRPC) testing tools.
- Agentic AI & Claude Integration: Leverage Claude, custom Agentic AI solutions, and autonomous workflows to auto-generate edge-case scenarios, diagnose root-cause failures, self-heal test suites, and solve complex production testing bottlenecks in real time.
- AWS Cloud-Native Testing: Leverage deep AWS cloud knowledge (Lambda, S3, CloudWatch, DynamoDB, SQS/SNS, ECS/EKS) to conduct cloud-native testing, monitor system metrics, and validate microservice resilience.
- CI/CD & DevOps Integration: Integrate performance and functional automation suites seamlessly into modern CI/CD pipelines (Bitbucket, GitLab, Jenkins) for continuously gatekeeping release quality.
- Data Integrity & Complex Validation: Perform deep-dive database validations (SQL/NoSQL) and complex message parsing (JSON/XML) to ensure high-grade data accuracy and consistency across distributed cloud systems.
Requirements
- Education: B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.
- Experience:8–12 years of hands-on experience in Quality Engineering, Automation, and Performance Testing.
- Performance Engineering: Demonstrated mastery in load and performance tools (e.g., JMeter, Locust, K6, Gatling) with a track record of tuning, bottleneck identification, and capacity planning for large-scale applications.
- UI & API Automation Expertise: Proficiency in languages such as Java or Python, with extensive experience in modern frameworks (RestAssured, Playwright, Selenium, Postman, SoapUI).
- Cloud Proficiency: Advanced, hands-on experience testing and monitoring microservices deployed on AWS.
- Agentic AI & Claude AI Workflows: Hands-on experience integrating Claude and Generative AI/Agentic models into testing pipelines for intelligent test creation, prompt-driven automation, real-time log triage, and self-healing test scripts.
- System Architecture & Dependencies: Exceptional ability to map, mock, and test complex systems with interwoven dependencies, microservices, and asynchronous event-driven architectures.
- Tools & Ecosystem: Mastery of Git, Maven/Gradle, Jira, Docker, Kubernetes, and CI/CD tools.
- Work Location: Bangalore (In-Office Only)
