Lead SDET Quality Engineering

Role Overview
We are looking for a Lead SDET Quality Engineering to lead and drive the quality engineering strategy for our cloud-native SaaS platform. The role involves building scalable test automation frameworks, defining testing strategies for distributed systems, integrating quality into the CI/CD lifecycle, and leading a team of Quality Engineers.

Key Responsibilities
* Lead the quality engineering strategy and drive quality practices across the development lifecycle.
* Design, develop, and maintain scalable automation frameworks for UI, API, and integration testing.
* Define test strategies for microservices, distributed, and cloud-native applications.
* Integrate automated testing into CI/CD pipelines with appropriate quality gates.
* Drive API-first testing, including contract and schema validation.
* Use observability tools such as logs, metrics, and traces to validate system behavior and production quality.
* Plan and support performance and load testing using tools such as k6, Locust, or Gatling.
* Participate in architecture and design discussions to improve testability and quality.
* Mentor and manage Quality Engineers while driving continuous improvement in testing processes and frameworks.

Qualifications
* Bachelor’s/Master’s degree in Computer / IT
* 8–12 years of experience in Test Automation / Quality Engineering.
* Strong programming skills in Python, Java, or JavaScript.
* Hands-on experience with Playwright, Cypress, Pytest, Robot Framework, or similar tools.
* Strong experience in API testing using Postman/Newman, REST Assured, Python Requests, or similar tools.
* Experience with Jenkins, GitHub Actions, GitLab CI, or other CI/CD tools.
* Strong understanding of microservices, distributed systems, containers, and cloud-native architectures.
* Hands-on experience with Docker and Kubernetes.
* Experience testing cloud-based applications, preferably on AWS.
* Knowledge of contract testing and schema validation using OpenAPI, Pact, or similar tools.
* Experience with observability tools such as Prometheus, Grafana, ELK, or OpenSearch.
* Strong leadership, mentoring, analytical, debugging, communication, and stakeholder management skills.

Company Profile:

As a leading AI consulting partner, we specialize in empowering businesses with innovative AI strategy development and seamless AI integration. Our approach is designed to align cutting-edge Artificial Intelligence with your unique business needs, driving impactful transformation and fostering innovation across enterprises. Backed by years of expertise, our AI engineering team combines advanced AI technologies with sophisticated machine learning methods to craft intelligent, data-driven solutions. From building robust AI models to optimizing processes, we ensure every solution is tailored to unlock growth, efficiency, and success in an ever-evolving digital landscape.