Senior SDET - Localization Engineer
Senior SDET - Localization Engineer
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Job Description
Cohesity is the leader in AI-powered data security. Over 13600 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 companys 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.
Weve 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 softwareblending 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.
Were seeking a Senior SDET with deep expertise in Storage Networking Virtualization and Cloudplus hands-on experience in Python automation AI/ML and Localization Engineering.
In this strategic role youll 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 YOULL 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.
WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING
Bachelors or Masters degree in Computer Science Engineering or related technical field.
815 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.
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Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying you may contact us atCOHESITY or for assistance.
In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.
Required Experience:
Senior IC
Employment Type
Full-Time
