В Okta хорошо описана senior-инженерная роль в актуальной сфере AI и кибербезопасности, однако единоличная техническая ответственность без коллег-инженеров и технического руководителя несёт риск изоляции и чрезмерной нагрузки.
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Всё на одномУзкая специализацияAI в рабочих процессахАктуальные технологииИзвестная продуктовая компания
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Globalization Software Engineer (AI): Building and owning localization automation infrastructure, CLI tools, and translation management system integrations with an accent on Python, REST APIs, LLM integrations, and custom machine translation pipelines. Focus on architecting autonomous i18n tooling, resolving distributed integration failures, and enforcing globalization quality through AST analysis and CI/CD guardrails.
Location: Hybrid in Bellevue, Washington; Chicago, Illinois; San Francisco, California; or Toronto, Ontario, Canada.
Annual base salary: $148,000–$203,500 USD, $132,000–$181,500 USD, or $114,000–$157,300 CAD, depending on location.
Company
Okta builds identity and security infrastructure that helps organizations safely use AI and other technologies.
What you will do
Architect, build, and maintain localization automation workflows connecting enterprise TMS platforms with content repositories, CI/CD pipelines, and internal microservices.
Write, test, deploy, and maintain production-grade Python code, CLI tools, custom linters, and pseudo-localization build hooks.
Integrate LLM APIs, custom machine translation pipelines, and advanced TMS capabilities into localization automation frameworks.
Own localization system architecture, TMS administration, schema configuration, webhooks, payload parsing, custom connectors, and vendor management.
Investigate integration failures, API and file-parsing conflicts, and distributed-system bottlenecks while maintaining pipeline reliability.
Perform code-level i18n reviews, build AST-based static analysis scripts, and collaborate with localization and product engineering teams on global readiness.
Requirements
6–8 years of experience in software or globalization engineering, including architecting localization solutions at scale.
Expert-level Python, API development, and software engineering skills for building, testing, and maintaining automation infrastructure and system integrations.
Experience with enterprise CMS or MSM platforms such as Adobe Experience Manager.
Hands-on experience programmatically integrating LLM APIs and custom machine translation pipelines into proprietary automation frameworks.
Deep understanding of TMS architecture, content parsing, and file formats including JSON, XML, XLIFF, and properties.
Ability to conduct code-level i18n reviews across React, Go, or Java codebases using AST-based parsing or linting.
Ability to work independently and autonomously without technical direction or engineering management.
Strong organizational skills and ability to manage and prioritize multiple technical projects simultaneously.
Nice to have
Hands-on experience with CI/CD pipelines such as GitHub Actions, GitLab CI, or Jenkins.
Experience with Git and automated testing frameworks for i18n/l10n workflows.
Experience with data analysis and reporting on workflow performance.
Culture & Benefits
Individual contributor role with complete technical ownership and autonomy.
In-person onboarding designed to support connection with the team and organization.
Health, dental, and vision insurance.
401(k), flexible spending account, equity where applicable, bonus, and paid leave including PTO and parental leave for applicable US plans.
For Canada-based employees: RRSP with a match, healthcare spending, telemedicine, and paid leave.
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