Job Description :

We are seeking a highly motivated and experienced Lead Software Development Engineer in Test (SDET) 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.

The ideal candidate will champion modern quality engineering practices, including automation, cloud-native testing, and observability-driven validation. This role goes beyond traditional QA to ensure end-to-end product quality across distributed systems.

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).

- Work with product and engineering teams to ensure high test coverage and release confidence.

- 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.

- Participate in architecture and design discussions to influence testability and quality.

Must Have :

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

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

- 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).

- Experience working with Docker and Kubernetes-based environments.

- Strong understanding of software development lifecycle (SDLC) and Agile methodologies.

- Experience leading or contributing to modernization/migration initiatives (e.g., legacy to modern automation frameworks, tooling consolidation, platform upgrades).

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

- Familiarity with contract testing / schema validation (OpenAPI, Pact, etc.).

- Exposure to observability tools such as Prometheus, Grafana, ELK/OpenSearch.

- Familiarity with AI-driven or intelligent test automation tools.

Good to Have :

- Experience with AI/ML-driven systems testing, including validating model outputs, testing non-deterministic systems (e.g., LLM-based features), and understanding of data quality, drift, and bias considerations.

- Knowledge of event-driven architectures (Kafka, messaging systems) and testing strategies.

- Exposure to security testing fundamentals (OWASP).

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

Soft Skills :

- Ability to drive quality culture across teams.

- Proactive mindset with a focus on continuous improvement.

- Ability to work in a fast-paced, collaborative environment.

Experience :

- 8 - 12 years of experience in test automation/quality engineering.

- Strong leadership and mentoring capabilities.

- Excellent analytical, problem-solving, and debugging skills.

- Strong communication and stakeholder management skills.

Education :

- Bachelor's degree in computer science or a related field