Job 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.
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 for accuracy and consistency
Testing non-deterministic systems (e.g., LLM-based features)
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
