Cloud Automation and Test Engineer (HCS)

Job Description: Cloud Automation & Test Engineer

Role:

Cloud Automation and Test Engineer Objective:

Enhance the quality and reliability of the

HyperCompute Cluster Service (HCS)

on Google Cloud by designing and implementing automation tests across APIs, end-to-end workflows, and critical user journeys. Key Responsibilities API Test Development Design and implement automated, comprehensive test suites for all HCS API actions with a focus on: Functional correctness Error handling Performance Utilize API testing tools and frameworks such as

Postman, Rest Assured , or custom

Python/Go

frameworks. End-to-End Validation Develop and maintain robust End-to-End tests for critical workflows, including: New cluster creation Configuration updates Resource deletion Validate integration points with external systems, such as

job schedulers (e.g., Slurm) . User Journey Automation & CI/CD Build and maintain automated CI/CD pipelines to validate key user experiences on the HCS platform. Contribute to the design and improvement of the overall test automation framework and strategy. Quality Assurance & Collaboration Execute test plans, analyze results, and report defects. Collaborate closely with development teams to ensure high-quality and timely delivery. Participate in requirement reviews and provide early feedback to improve testability and overall product quality. Required Qualifications Education Bachelor’s degree in

Computer Science ,

Engineering , or a related technical field. Experience 1–5+ years

of professional experience in software testing and automation, preferably in: Cloud-based services Distributed systems Technical Skills Strong proficiency in at least one scripting/programming language:

Python

or

Go . Proven experience in developing

API automation tests . Familiarity with cloud platforms, preferably

Google Cloud Platform (GCP) . Hands-on experience with

CI/CD pipelines

(Jenkins, GitLab CI, Google Cloud Build) and

Git . Understanding of

HPC concepts ,

cluster management , or

job schedulers

(e.g., Slurm) is a significant plus.