Globalization Tech Lead
Okta INC · 🇨🇦 Bellevue, Washington; Chicago, Illinois; Toronto, Ontario, Canada
Sponsorship verdict
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No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Okta INC
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About the role
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role: Okta is looking for a highly skilled Globalization Engineer to be the technical backbone of our global digital operations. You will be responsible for owning, building, and optimizing the automation and technology stack that powers our localization team. This is a hands-on role for an experienced technical expert who is passionate about building robust, scalable systems. You will leverage your deep expertise in APIs, AI, and internationalization to solve complex technical challenges and drive efficiency. As a subject matter expert, you will also act as a key technical consultant to internal teams, helping them prepare content for a global audience. What you'll be doing: • Build and Own the Localization Automation Framework: Design, develop, and maintain the core automation workflows for our content lifecycle using agentic workflows, Python and APIs, connecting our TMS with content sources, repositories, and other internal tools. • Spearhead AI and Technology Integration: Research, evaluate, and implement cutting-edge localization technologies, including AI/LLM-based solutions and advanced TMS features, to improve the quality, speed, and cost-effectiveness of our workflows. • Provide Technical Oversight and Systems Integrity: Act as the authority for resolving high-impact architectural failures. Conduct deep-dive root cause analysis on complex integration issues, file parsing conflicts, and system-wide bottlenecks to ensure uninterrupted uptime for the localization pipeline. • Advise on Internationalization (i18n): Consult with product and engineering teams by providing expert technical guidance, conducting i18n code audits, and defining best practices to ensure new experiences and features are architected for seamless localization. • Manage and Optimize the TMS Environment: Serve as the primary technical owner of our Translation Management Systems (e.g., XTM, Smartling), responsible for configuration, maintenance, and optimization. • Drive Early Detection (Shift-Left Strategy): Develop and deploy "self-service" tools for dev teams, such as pseudo-localization pipelines and i18n auditing, enabling them to identify and fix UI truncation, hard-coding, and concatenation issues before they reach the translation phase. What skills you'll bring: • 6-8 years of experience in software or globalization engineering, with a proven track record of architecting localization solutions at scale. • Expert-level proficiency in Python and leveraging APIs to build and maintain custom automation frameworks and system integrations. • Experience with enterprise CMS or MSM platforms (e.g., Adobe Experience Manager). • Proven, hands-on experience implementing and utilizing AI in localization workflows (e.g., custom MT pipelines, quality estimation, prompt engineering for LLMs). • Deep technical understanding of the localization landscape, including TMS architecture, content parsing, and a wide variety of file formats (JSON, XML, XLIFF, properties, etc.). • Ability to conduct code-level i18n reviews and provide actionable feedback to developers in a way that encourages adoption of global best practices. • A systematic and analytical problem-solving mindset, with a demonstrated ability to diagnose and resolve comp