S&S&P Global Market Intelligence
Engineer, Quality Engineering / SDET
Gurgaon ₹2-4 LPA Posted 30 May 2025
FULL TIME
Jmeter
Docker
Gcp
Aws
Job Description
Responsibilities
- Architect, implement, and maintain automated testing infrastructure.
- Create and run test plans for APIs, services, and frontend applications.
- Work closely with developers to test new features before, during, and after development.
- Validate APIs using tools like Postman, Swagger, or custom test scripts.
- Monitor and improve test coverage across unit, integration, and system levels.
- Integrate test suites into CI/CD pipelines (GitHub Actions, CircleCI, or similar).
- Perform load, performance, and security testing to ensure robustness under scale.
- Collaborate with DevOps to manage test environments and mock services.
What We're Looking For
- 3-6 years of experience in test automation or QA roles with a strong technical foundation.
- Solid knowledge of test automation tools and frameworks
- Strong understanding of API testing, including writing test scripts in Postman or code.
- Proficiency in one or more programming languages (preferably Python or JavaScript).
- Familiarity with testing across microservices and architectures.
- Comfort working with version control systems (e.g., Git) and CI/CD platforms.
- Strong debugging skills and ability to read logs and trace issues across systems.
- Experience writing detailed bug reports, test cases, and documentation.
Nice to Have
- Knowledge of cloud environments (AWS, GCP) and testing infrastructure in cloud-native stacks.
- Exposure to containerization (Docker) and Kubernetes for environment simulation.
- Familiarity with contract testing (e.g., Pact) or mocking frameworks.
- Performance and load testing experience (e.g., using JMeter, Locust, or k6).
What's In It For You
- Opportunity to define and build the QA function from the ground up.
- Hands-on work with modern dev stacks, APIs, and cloud services.
- A culture that values speed, ownership, and innovation.
- Direct influence over the quality and performance of a mission-critical data product.
- A collaborative environment where you work directly with product and engineering leaders.