Role Overview :

We are seeking a highly motivated and experienced Lead SDET - Quality Engineering to drive the quality strategy for our AI-driven cloud operations platform. This role will focus on building scalable, reliable, and intelligent test automation systems, enabling high-quality releases in a fast-paced SaaS environment.

Key Responsibilities :

- Lead and drive the quality engineering strategy for our cloud-native SaaS platform.

- Design, develop, and maintain scalable automation frameworks and test suites across UI, API, and integration layers.

- Collaborate closely with engineering teams to embed quality practices within the development lifecycle (shift-left).

- Ensure seamless integration of automated tests into CI/CD pipelines with appropriate quality gates.

- Define and implement test strategies for microservices-based and distributed systems.

- Establish best practices for test design, execution, and reporting, continuously improving frameworks and processes.

- Drive API-first testing strategy, including contract and schema validation.

- Utilize observability tools (logs, metrics, traces) to validate system behavior and improve production quality (shift-right).

- Experience with performance and load testing for cloud-native, distributed systems, including defining strategies, evaluating tools (e.g., k6, Locust, Gatling), and ensuring system scalability and reliability at scale.

- Mentor and manage a team of quality engineers, fostering a culture of ownership, innovation, and continuous improvement.

Tech Stack & Requirements :

- Strong programming experience in Python (preferred) or Java/JavaScript.

- Hands-on experience with modern automation frameworks : Playwright / Cypress (UI Automation), Pytest / Robot.

- Strong experience in API testing : REST APIs using tools like Postman/Newman, REST Assured, or Python (requests).

- Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.

- Solid understanding of cloud-native architectures (microservices, containers, distributed systems) and Docker/Kubernetes.

- Experience testing cloud-based applications, preferably on AWS.

- Familiarity with contract testing / schema validation (OpenAPI, Pact, etc.) and observability tools (Prometheus, Grafana, ELK/OpenSearch).

Good to Have :

- Experience with AI/ML-driven systems testing (validating model outputs, non-deterministic systems).

- Knowledge of event-driven architectures (Kafka) and security testing fundamentals (OWASP).

- Experience implementing shift-right practices such as synthetic monitoring or canary validation.