Localization Engineer MTS
Salesforce
Localization Engineer MTS
Job Description
Description We are seeking a skilled Localization Engineer to build scalable AI-driven solutions that allow Commerce Cloud products and content to function seamlessly in multiple languages. The candidate must show expertise in both localization and software engineering and strive to optimize both disciplines with artificial intelligence, particularly in areas like machine translation and deployments of localized artifacts. The role involves designing and implementing multilingual frameworks, automating localization processes, and ensuring the highest level of linguistic and cultural quality in our AI-powered products.ResponsibilitiesWorkflow automation: Implement scalable pipelines for automating translation, content extraction, and quality assurance processes using first and foremost AI tooling.In-context testing: Prepare and execute in-context testing for UI and Content translations, assuring the highest possible linguistic quality cultural appropriateness, and alignment with Salesforce international terminology and style guides.Technical support and troubleshooting: Provide technical support to linguists, product managers, and other stakeholders, and troubleshoot issues within the localization pipeline.Test automation development: Enhance existing and develop new robust localization testing frameworks as part of multi-lingual quality assurance.Research and innovation: Stay current with the latest advancements in localization technologies, multilingual AI frameworks, NLP, NMT and industry trends, recommending improvements to current processes.Required QualificationsA related technical degree required.3+ years of experience in localization engineering and/or localization quality assurance and software engineering and quality assurance.Proficiency in programming languages/frameworks commonly used in automation, such as Java and Selenium.A deep understanding of localization and internationalization (i18n) principles, including file formats (e.g., XLIFF, JSON) and translation management systems (TMS).Strong analytical and problem-solving skills to address complex technical and linguistic issues.Excellent verbal and written communication skills to collaborate effectively with diverse, cross-functional teams.Preferred QualificationsKnowledge of multiple human languages and globalization best practices.Experience with cloud-based translation or localization platforms.
Locations
- Burlington, Massachusetts
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
125,000 - 175,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in programming languages/frameworks commonly used in automation, such as Java and Selenium.intermediate
- A deep understanding of localization and internationalization (i18n) principles, including file formats (e.g., XLIFF, JSON) and translation management systems (TMS).intermediate
- Knowledge of multiple human languages and globalization best practices.intermediate
- Experience with cloud-based translation or localization platforms.intermediate
Required Qualifications
- A related technical degree required. (degree)
- 3+ years of experience in localization engineering and/or localization quality assurance and software engineering and quality assurance. (experience, 3 years)
- Proficiency in programming languages/frameworks commonly used in automation, such as Java and Selenium. (experience)
- A deep understanding of localization and internationalization (i18n) principles, including file formats (e.g., XLIFF, JSON) and translation management systems (TMS). (experience)
- Strong analytical and problem-solving skills to address complex technical and linguistic issues. (experience)
- Excellent verbal and written communication skills to collaborate effectively with diverse, cross-functional teams. (experience)
Preferred Qualifications
- Knowledge of multiple human languages and globalization best practices. (experience)
- Experience with cloud-based translation or localization platforms. (experience)
Responsibilities
- Workflow automation: Implement scalable pipelines for automating translation, content extraction, and quality assurance processes using first and foremost AI tooling.
- In-context testing: Prepare and execute in-context testing for UI and Content translations, assuring the highest possible linguistic quality cultural appropriateness, and alignment with Salesforce international terminology and style guides.
- Technical support and troubleshooting: Provide technical support to linguists, product managers, and other stakeholders, and troubleshoot issues within the localization pipeline.
- Test automation development: Enhance existing and develop new robust localization testing frameworks as part of multi-lingual quality assurance.
- Research and innovation: Stay current with the latest advancements in localization technologies, multilingual AI frameworks, NLP, NMT and industry trends, recommending improvements to current processes.
Tags & Categories
Localization Engineer MTS
Salesforce
Localization Engineer MTS
Job Description
Description We are seeking a skilled Localization Engineer to build scalable AI-driven solutions that allow Commerce Cloud products and content to function seamlessly in multiple languages. The candidate must show expertise in both localization and software engineering and strive to optimize both disciplines with artificial intelligence, particularly in areas like machine translation and deployments of localized artifacts. The role involves designing and implementing multilingual frameworks, automating localization processes, and ensuring the highest level of linguistic and cultural quality in our AI-powered products.ResponsibilitiesWorkflow automation: Implement scalable pipelines for automating translation, content extraction, and quality assurance processes using first and foremost AI tooling.In-context testing: Prepare and execute in-context testing for UI and Content translations, assuring the highest possible linguistic quality cultural appropriateness, and alignment with Salesforce international terminology and style guides.Technical support and troubleshooting: Provide technical support to linguists, product managers, and other stakeholders, and troubleshoot issues within the localization pipeline.Test automation development: Enhance existing and develop new robust localization testing frameworks as part of multi-lingual quality assurance.Research and innovation: Stay current with the latest advancements in localization technologies, multilingual AI frameworks, NLP, NMT and industry trends, recommending improvements to current processes.Required QualificationsA related technical degree required.3+ years of experience in localization engineering and/or localization quality assurance and software engineering and quality assurance.Proficiency in programming languages/frameworks commonly used in automation, such as Java and Selenium.A deep understanding of localization and internationalization (i18n) principles, including file formats (e.g., XLIFF, JSON) and translation management systems (TMS).Strong analytical and problem-solving skills to address complex technical and linguistic issues.Excellent verbal and written communication skills to collaborate effectively with diverse, cross-functional teams.Preferred QualificationsKnowledge of multiple human languages and globalization best practices.Experience with cloud-based translation or localization platforms.
Locations
- Burlington, Massachusetts
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
125,000 - 175,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in programming languages/frameworks commonly used in automation, such as Java and Selenium.intermediate
- A deep understanding of localization and internationalization (i18n) principles, including file formats (e.g., XLIFF, JSON) and translation management systems (TMS).intermediate
- Knowledge of multiple human languages and globalization best practices.intermediate
- Experience with cloud-based translation or localization platforms.intermediate
Required Qualifications
- A related technical degree required. (degree)
- 3+ years of experience in localization engineering and/or localization quality assurance and software engineering and quality assurance. (experience, 3 years)
- Proficiency in programming languages/frameworks commonly used in automation, such as Java and Selenium. (experience)
- A deep understanding of localization and internationalization (i18n) principles, including file formats (e.g., XLIFF, JSON) and translation management systems (TMS). (experience)
- Strong analytical and problem-solving skills to address complex technical and linguistic issues. (experience)
- Excellent verbal and written communication skills to collaborate effectively with diverse, cross-functional teams. (experience)
Preferred Qualifications
- Knowledge of multiple human languages and globalization best practices. (experience)
- Experience with cloud-based translation or localization platforms. (experience)
Responsibilities
- Workflow automation: Implement scalable pipelines for automating translation, content extraction, and quality assurance processes using first and foremost AI tooling.
- In-context testing: Prepare and execute in-context testing for UI and Content translations, assuring the highest possible linguistic quality cultural appropriateness, and alignment with Salesforce international terminology and style guides.
- Technical support and troubleshooting: Provide technical support to linguists, product managers, and other stakeholders, and troubleshoot issues within the localization pipeline.
- Test automation development: Enhance existing and develop new robust localization testing frameworks as part of multi-lingual quality assurance.
- Research and innovation: Stay current with the latest advancements in localization technologies, multilingual AI frameworks, NLP, NMT and industry trends, recommending improvements to current processes.
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