Cohesity: Software Development Engineer in Test (SDET)

Company Overview:

Cohesity is a global leader in AI-powered data security solutions, trusted by over 13,600 enterprise customers, including 85+ Fortune 100 companies. Backed by tech giants like NVIDIA, IBM, HPE, Cisco, and Google Cloud, Cohesity protects and manages data across on-premises, cloud, and edge environments.

Following a strategic merger with Veritas’ enterprise data protection business, Cohesity continues to redefine data resiliency and operational simplicity with cutting-edge AI technologies.

About the Role:

We’re seeking a Software Development Engineer in Test (SDET) who will be at the forefront of automated localization, AI-driven validation, and global-ready product development. This role blends QA automation, AI/ML integration, and localization testing — ideal for someone passionate about tech innovation and precision.

Key Responsibilities:

• Design & develop multilingual test automation frameworks using Python and Robot Framework.

• Build AI-powered validation workflows for UI/UX, content, and layout across global languages.

• Simulate localized environments using virtualization tools (VMware, KVM, Hyper-V).

• Collaborate with engineering and product teams to ensure internationalization (i18n) and localization (l10n) quality.

• Execute test plans across cloud-native storage, backup, and virtualization platforms.

• Leverage AI/ML tools to validate translated text, voice, and visual content.

• Test REST APIs, microservices, and containerized applications using tools like Postman and REST Assured.

Required Skills & Experience:

• 2–8 years of experience in QA Automation and Localization Testing.

• Strong hands-on skills in Python, Robot Framework, Selenium, or Appium.

• Knowledge of storage and virtualization technologies (NAS, SAN, Object Storage, ESXi, Hyper-V, KVM).

• Experience with Cloud Platforms (AWS, Azure, GCP) and CI/CD pipelines.

• Familiarity with AI/ML libraries (spaCy, Transformers, TensorFlow, OpenAI APIs).

• Exposure to localization platforms like Smartling, Crowdin, SDL Trados.

• Experience with LLM-based translation/testing tools such as XTM (preferred).

• Comfortable working in Linux environments and writing shell scripts.

Ideal Candidate Traits:

• Detail-oriented with a passion for automation and scalable testing.

• Enthusiastic about combining AI + QA for localization innovation.

• Able to work independently in a fast-paced, cross-functional setup.

• Fluency in English; knowledge of other languages (e.g., Japanese, French, Chinese) is a bonus.

Why Join Cohesity?

• Be part of a high-impact, AI-focused QA team.

• Work on global-scale products with real-world business value.

• Collaborate with top-tier engineers, product leaders, and AI experts.

• Competitive compensation, flexible hybrid model, and global exposure.

Workplace Model:

Hybrid – Employees within a reasonable commute (≈45 mins) are expected to work from the office 2–3 days a week.

Application Process:

1. Online Application

2. Technical Interview(s)

3. Behavioral & Culture Fit Round

4. Final Offer

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