Lead Software Development Engineer in Test (Remote, Anywhere in Pakistan, USD Salary)

Requirements: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. 5+ years of experience in software testing, test automation, and software development. Strong proficiency in one or more programming languages, including Java, C#, Python, JavaScript/TypeScript, Kotlin, or Swift. Hands-on experience with test automation frameworks such as Selenium WebDriver, Playwright, Cypress, Appium, or Robot Framework. Experience in API testing using Rest Assured, Postman, Karate, Newman, or GraphQL testing. Proficiency in unit testing frameworks such as JUnit, TestNG, NUnit, xUnit, or PyTest. Experience with Behavior-Driven Development (BDD) frameworks, including Cucumber, SpecFlow, or Behave. Strong understanding of CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or GitLab CI. Proficiency with version control systems, including Git, GitHub, Azure Repos, or Bitbucket. Experience working with relational and NoSQL databases such as SQL Server, PostgreSQL, MySQL, Oracle, or MongoDB. Hands-on experience with cloud platforms and containerization technologies, including Microsoft Azure, AWS, Google Cloud Platform (GCP), Docker, and Kubernetes. Experience with performance testing tools such as JMeter, k6, or Gatling. Familiarity with test management and defect tracking tools, including Azure DevOps, Jira, TestRail, Zephyr, or Xray. Experience working with distributed systems, microservices, cloud-native applications, and containerized environments is preferred. Familiarity with Infrastructure as Code (IaC), AI-assisted testing tools, intelligent test automation, and secure software development practices is a plus. Excellent analytical, debugging, troubleshooting, critical thinking, and problem-solving skills. Strong communication, collaboration, stakeholder management, and mentoring abilities. Strong software engineering mindset with a passion for quality, continuous improvement, ownership, and accountability. Experience working in Agile/Scrum environments with the ability to adapt in a fast-paced development environment. Responsibilities: Design, develop, maintain, and enhance scalable, reusable, and maintainable test automation frameworks, including data-driven, keyword-driven, hybrid, and BDD frameworks. Improve test coverage and execution efficiency through robust automation framework design. Develop and maintain automated test scripts for web, mobile, desktop, API, and microservices applications. Write clean, maintainable, and production-quality automation code. Develop reusable testing utilities and libraries. Participate in code reviews and continuously improve code quality, maintainability, and scalability. Design, develop, and execute automated RESTful and GraphQL API tests. Validate business logic, authentication, authorization, and request/response payloads. Perform database validation using SQL and NoSQL databases to verify application data integrity. Integrate automated tests into CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI. Analyze pipeline failures, improve test reliability, and ensure stable automated test execution. Participate in requirements analysis, design reviews, sprint planning, and other Agile ceremonies to identify quality risks early. Ensure quality throughout the SDLC by collaborating with cross-functional teams during Agile development. Develop test strategies, test plans, and quality metrics to improve application quality and automation adoption. Collaborate with development teams to improve application testability and drive automation best practices. Support performance, load, stress, scalability, and basic security testing. Identify bottlenecks and recommend performance improvements. Create and maintain reusable test data, manage test environments, and support service virtualization for reliable testing. Collaborate with Product Owners, Developers, QA Engineers, DevOps Engineers, and Solution Architects to deliver high-quality software. Provide accurate effort estimates, mentor junior engineers, and promote quality engineering best practices across the team. Monitor automation execution results, perform root cause analysis, maintain quality dashboards, and recommend process improvements to enhance product quality and delivery efficiency.