Software Engineer (Quality Assurance/SDET Focus)

Role Overview

Software Engineer specializing in Quality Assurance / SDET to ensure the reliability, performance, and scalability of healthcare technology solutions.

Responsibilities

• Design, develop, and maintain automated testing frameworks and scripts for web, API, and backend applications (including regression coverage).
• Collaborate with software engineers, product owners, and analysts to understand requirements, create test strategies, and write detailed test plans.
• Integrate automated test suites into CI/CD pipelines to enable continuous testing and rapid deployment.
• Diagnose, debug, and troubleshoot defects; write detailed bug reports and track issues to resolution.
• Identify opportunities for test automation, performance testing, and security scanning; implement modern quality engineering tools and patterns.
• Analyze test coverage and test execution metrics, and provide quality reports/recommendations to leadership.
• Participate in code reviews, architectural discussions, and Agile ceremonies to embed quality throughout the lifecycle.
• Develop AI-powered solutions with a focus on responsible AI usage.

Required Qualifications

• 5+ years working in an Agile/Scrum team and using tools like Jira or Azure DevOps.
• 3+ years testing RESTful APIs and using API testing tools such as Postman and RestAssured.
• 2+ years software engineering and/or test automation development with Selenium and Playwright (or similar).
• 2+ years in OOP languages such as Java, C#, or JavaScript/TypeScript.
• 2+ years designing/writing/executing automated test suites using frameworks such as Selenium, Cypress, Playwright, or Cucumber.

Preferred Qualifications

• Bachelor’s degree in Computer Science/Software Engineering (or equivalent experience).
• Experience integrating automated tests into CI/CD (e.g., Jenkins, GitHub Actions, GitLab CI).
• Exposure to testing cloud-based applications (AWS, Azure, GCP).
• Performance/load testing experience with JMeter, Locust, or k6.
• Database familiarity and SQL for verifying data integrity.
• Containerization knowledge (Docker or Kubernetes).