Senior SDET - Localization Engineer

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?

Join a team shaping the future of global-ready infrastructure software—blending deep system engineering with advanced localization, automation, and AI.

We partner across products, QA, content, and engineering to deliver technically robust, culturally accurate solutions at scale. From global cloud releases to region-specific UX validation, we lead in globalization (G11n), localization (L10n), and intelligent automation.

If youre driven to scale quality globally through modern engineering, this is your team.

We’re seeking a Senior SDET with deep expertise in Storage, Networking, Virtualization, and Cloud—plus hands-on experience in Python automation, AI/ML, and Localization Engineering.

In this strategic role, you’ll lead efforts to embed robust globalization (G11n) and localization (L10n) into enterprise-scale infrastructure products. Youll architect solutions, drive engineering best practices, and ensure international readiness across cloud-native systems.

An ideal fit for those who excel at the intersection of deep tech, intelligent automation, and global user experience.

How You’ll Spend Your Time Here

• Lead the technical design and automation of globalized and localized systems for Storage, Backup, Virtualization, and Cloud platforms.
• Partner with cross-functional teams including Product, QA, DevOps, and Localization teams to integrate internationalization (i18n) and localization early into the software development lifecycle.
• Drive implementation of Python-based test automation for localization validation, AI-driven content verification, and workflow optimization.
• Provide technical leadership for integrating AI/ML models into localization quality workflows, including content extraction, translation validation, and context-based language improvements.
• Guide teams in implementing virtualized test environments for simulating geo-localized behaviors across regions and languages.
• Drive strategy and execution for global release-readiness of infrastructure products, ensuring alignment with market-specific requirements.
• Collaborate with Localization QA teams (LQA, GLQA) to build automated pipelines for end-to-end localization testing in client/vendor environments.
• Mentor junior engineers and act as a technical escalation point for localization automation and cloud-based testing infrastructure.
• Continuously monitor performance of localization systems, optimize test coverage, and provide insight through data analytics and reporting.
• Evaluate and integrate emerging technologies and AI-based localization platforms (LLMs, machine translation, etc.) into engineering pipelines.
  
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
• 8–15+ years of experience in systems-level engineering with a focus on Storage, Networking, Virtualization, or Cloud technologies.
• Strong programming expertise in Python, with a background in test automation and scripting for infrastructure systems.
• Hands-on experience with AI/ML frameworks (e.g., spaCy, OpenAI, Transformers) and their application in localization workflows.
• Solid understanding of G11n, L10n, i18n principles, and industry-standard localization workflows.
• Experience with CI/CD pipelines, cloud infrastructure (AWS, Azure, or GCP), and virtualization platforms (VMware, KVM, Hyper-V).
• Familiarity with tools such as Robot Framework, Selenium, Postman, REST Assured, Docker, Kubernetes, Terraform, or Ansible.
• Proven ability to lead cross-functional technical initiatives, drive architectural discussions, and influence product globalization strategies.
• Strong communication and collaboration skills, with ability to work across global teams and stakeholders.
• Knowledge of or interest in multilingual content, voice interfaces, and localized UX testing is a plus.
• Fluency in English; knowledge of another foreign language (Japanese, French, Chinese) is an added advantage.
• Collaborate cross-functionally, leadership & mentorship experience, drives go/no-go decisions based on quality of the release, anticipate risks and come up with mitigation plans.