Cloud Automation and Test Engineer
2 days ago
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.
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