Description

•Strong Java and Python Foundation

•Extensive hands on in Java and Python

•Develop and maintain AI-driven automation solutions

•Track the effectiveness of AI automation solutions, continuously refining them based on user feedback and evolving requirements

•Familiarity with AI agentic frameworks, MCPs and LLM libraries (e.g., Anthropic SDK).

•Understanding of LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practices.

•Experience in CI/CD with building tools such as Maven and Jenkins.

•Experience with Kubernetes for container orchestration and deployment at scale.

•Work with project managers to ensure that all project deliverables are on time and high quality

•Work collaboratively with other teams: QA, DevOps, UX etc

•Exceptionally good at documentation and explaining our core technical processes

•Prior Apple experience is a Strong plus

Roles & Responsibilities

5+ years hand on industry experience is a must

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, 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

Minimum Qualifications

•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

•BS or MS in Computer science or equivalent experience

Preferred Qualifications

•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

Key Skills

Education

Bachelor's degree