Software Development Engineer In Test

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.

We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture.

Want to join the leader in AI-powered data security?

About The Team

Join a cutting-edge team at the intersection of AI, automation, and global user experience. We work closely with engineering, AI/ML, DevOps, and product teams to ensure seamless, multilingual product quality.

Were building intelligent automation frameworks that scale across languages and platforms—delivering globally ready products with precision, speed, and cultural relevance.

If youre passionate about AI-driven testing, cloud technologies, and automation at scale, we’d love to have you on board.

About The Role

As a Software Quality Engineer, you’ll drive automation and validation for multilingual, cloud-native storage and backup products. This hybrid role blends QA expertise with domain knowledge in Storage, Backup, Virtualization, and localization.

You’ll build scalable automation (Python, Robot Framework), simulate real-world language environments, and validate AI/ML-powered content — ensuring fast, accurate, and high-quality global releases.

Ideal for those who thrive on technical depth, cross-functional teamwork, and innovation in AI-driven localization testing.

How You’ll Spend Your Time Here

• Design, develop, and maintain automated localization test frameworks for multilingual UI and content validation using Python, Robot Framework, or similar tools.
• Manage and generate test datasets using your understanding of NAS, SAN, Object Storage, and backup/restore configurations.
• Integrate AI/ML models for advanced analysis of localized content, including text, voice, and image-based quality validation.
• Build and execute test strategies across Storage, Backup, and Virtualization product lines that have a global reach.
• Automate localization quality checks to validate UI/UX consistency, layout integrity, cultural appropriateness, and linguistic accuracy.
• Simulate localized user environments using virtualization tools such as VMware, KVM, and Hyper-V.
• Define and implement end-to-end test methodologies and test plans that reflect both user expectations and technical requirements.
• Perform root cause analysis, log defects using tools like JIRA, and ensure timely resolution with relevant teams.
• Test REST APIs, microservices, and containerized applications using tools like Postman, REST Assured, etc.
  
  

• B.Tech/M.Tech in Computer Science or related field with 2-8  years of experience in QA Automation and Localization Testing.
• Proven experience testing system-level products involving storage, networking, or virtualization.
• A strong commitment to product quality and detail orientation.
• Expertise in Python programming and experience with tools like Robot Framework, Selenium, or Appium.
• Applied experience with AI/ML tools/libraries such as spaCy, Transformers, TensorFlow, OpenAI, or Google Translate APIs.
• Strong understanding of Storage, Backup, and Virtualization technologies.
• Experience working on Cloud platforms (AWS, Azure, GCP) including CI/CD integrations.
• Familiarity with i18n and l10n practices, and experience in localization tooling and workflows (e.g., Crowdin, Smartling, SDL Trados).
• Familiarity with Hypervisors (e.g., ESXi, Hyper-V, KVM).
• Knowledge of containerization tools like Docker and orchestration via Kubernetes.
• Comfortable working in Linux environments, with hands-on shell scripting skills.
• Strong test planning, execution, and problem-solving skills.
• Demonstrated ability to work independently, manage priorities, and adapt to fast-paced environments.
• Fluency in English; knowledge of additional languages like Japanese, French, or Chinese is a plus.
• Experience using or validating LLM-based translation or testing tools like XTM is highly desirable.
• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.