Cloud Test Automation Engineer (Python/AWS)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Test Automation Engineer in United States.

This role focuses on ensuring the reliability, scalability, and quality of cloud-based products through advanced test automation. You will work closely with development and cloud engineering teams to design, implement, and maintain automated test suites, primarily for APIs and backend services, with some exposure to UI and performance testing. The position requires deep Python and PyTest expertise, strong AWS experience, and a collaborative mindset to translate complex requirements into robust, automated tests. This role offers a dynamic environment where innovation, technical excellence, and attention to detail directly impact product quality and customer satisfaction. You will have the opportunity to influence testing frameworks, tools, and practices across the organization while supporting real-world cloud applications at scale.

Accountabilities

• Enhance and maintain cloud API automation frameworks to support reliable, scalable testing.
• Build, maintain, and expand automated test suites using Python and PyTest for APIs and backend services.
• Collaborate with developers and product managers to analyze requirements, identify edge cases, and design comprehensive test coverage.
• Set up and manage test environments for cloud applications, including AWS workflows (S3, DynamoDB, SQS, SNS).
• Execute and analyze functional, regression, and smoke tests through CI/CD pipelines.
• Produce clear, concise bug reports, test documentation, and results summaries.
• Contribute to coding standards and quality assurance practices across the testing team.
  
  

Requirements

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• 3–5+ years of experience as a Cloud Test Engineer, QA Automation Engineer, or similar role.
• Strong Python development skills and deep familiarity with PyTest, including fixtures, parameterization, and decorators.
• Hands-on experience testing cloud-based microservices and APIs.
• Solid AWS experience (S3, DynamoDB, SQS, SNS) and familiarity with CI/CD pipelines (GitHub Actions preferred).
• Knowledge of REST/gRPC, JSON/Protobuf, and API authentication mechanisms.
• Strong analytical skills and creativity to design robust automated tests from evolving requirements.
• Excellent communication skills, including test documentation and reporting.
• Ability to work independently and collaboratively within a high-growth, fast-paced environment.
• Bonus: Experience with performance/load testing (k6, JMeter, Locust), Kafka or other messaging systems, Linux application testing, and security concepts.
  
  

Benefits

• Competitive base salary ($140k–$175k) plus 10% bonus and equity.
• Comprehensive healthcare coverage (medical, dental, vision) with premiums fully covered for employees and dependents.

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• 401(k) plan with 3% employer contribution.
• Short and long-term disability, basic life, and AD&D insurance.
• Flexible, unlimited PTO and parental leave.
• Generous equity offerings.
• Opportunity to work with a fully remote, distributed global team in a high-growth, innovative environment.
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.