Java API Test Engineer

Client: TCS | Engagement: Full-time | Work mode: ONSITE | Rate: 0-78 USD | Experience: 8-10 | Publisher job id: 10738843

Role Overview

This role is for a Hardware Server Engineer with a strong focus on API testing and automation. The successful candidate will be responsible for creating and maintaining automated tests to verify APIs developed by third-party partners, ensuring correct implementation of Apple Pay features. The position requires deep technical expertise in Java/Kotlin and experience with automated testing frameworks, particularly for REST APIs. Key Responsibilities: Creating new tests to verify APIs built by third-party partners to ensure they correctly implemented Apple Pay features. Defining test coverage for new features, creating and maintaining automated server test cases, and reporting test results. Contributing to the design and development of testing tools. Prioritizing, scheduling, and communicating the status of your work. Diving deep to resolve highly technical issues in complex systems. Triaging automation failures and driving them to quick resolution. Expertise communicating clearly and concisely with ability to tailor communication to a given audience. Strong organizational skills enabling both independent and team work. Required Skills: Strong proficiency coding in Java/Kotlin is a must. Experience developing API tests using automated testing frameworks specially REST and troubleshooting test failures. Strong analytical and problem-solving skills with a focus on critical thinking and a testability mindset. Ability to apply creativity and analytical thinking to all kinds of problems, such as test case design and building robust automation. Qualifications: 5+ years hands-on industry experience is a must. BS or MS in Computer science or equivalent experience. Preferred Skills: Good understanding of CI/CD principles and the optimal way to design testing strategy for cloud applications. Containerization and virtualization using Docker, Kubernetes, or related technologies. Familiarity with AI/ML solutions.