Lead Engineer, Automation

SIT Lead QA Engineer

Roles and Responsibilities

• Work with cross-product teams to understand integration touchpoints, data flows, and dependencies.
• Identify SIT test scenarios, integration use cases, and system-level validations.
• Lead the design of SIT test plans, test cases, and test data requirements.
• Coordinate end-to-end SIT execution cycles, issue triage, and resolution tracking.
• Implement traceability from business requirements to SIT test cases and results.
• Use automation tools where feasible to support regression SIT suites.
• Collaborate with DevOps to manage SIT environment configurations and deployments.
• Drive defect root cause analysis and continuous improvement in integration processes.
• Track and report SIT KPIs and readiness metrics to stakeholders.
• Mentor and guide SIT QA team members, ensuring best practices and skill growth.
• Mentor and guide junior QA engineers, fostering a quality-first mindset within the team.
• Collaborate with various development teams, business stakeholders, and architects to establish goals and priorities for your teams.
• Support the wider business goals and processes, and drive team improvement throughout the QA lifecycle.

Skills

• Strong knowledge of system integration principles, APIs, middleware, and data exchanges.
• Experience testing enterprise applications (ERP, CRM, Supply Chain, etc.).
• Proficiency in tools like Postman, JIRA, Zephyr, Jenkins, and API testing tools.
• Good understanding of SQL and data validation practices.
• Exposure to microservices, REST/SOAP APIs, and enterprise middleware platforms.
• Strong understanding of

  CI/CD pipelines

  and experience integrating test automation into DevOps workflows.
• Proficiency in

  writing test scripts

  using JavaScript, Python, Selenium, or other scripting languages.
• Experience in

  API testing

  using tools like Postman, RestAssured, or Karate.
• Strong knowledge of

  cloud-based testing environments

  (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
• Experience in

  AI/ML-driven testing methodologies

  and predictive analytics in QA.
• Excellent problem-solving skills and ability to work in a fast-paced, Agile environment.

Qualifications

• Education:

  Bachelor's degree (Required). Master's degree (Preferred).

• Work Experience:

  7 to 10 years of experience in QA, with at least 3 years leading SIT efforts.