Localization Engineer
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 13, 2026.
Location: South America (NAM)
Department: Information Technology
Reports To: Global Process and Technology Manager
Job Purpose
The Localisation Engineer is responsible for managing the technical aspects of localisation projects, ensuring that digital content and software are properly prepared, engineered, and integrated to meet linguistic and cultural requirements. This role supports the efficient and accurate adaptation of products across multiple languages and platforms.
Key Responsibilities
Extract, prepare, and re-integrate translatable content from various source files and formats (e.g., XML, JSON, HTML, CSV, XLIFF, SCORM, Articulate, etc.).
Develop, maintain, and optimise localisation workflows, automation scripts, and tools to support translation and localisation processes.
Troubleshoot localisation-related technical issues including encoding, text display, formatting, and layout problems.
Manage and maintain translation memory (TM), terminology databases, and other linguistic assets.
Troubleshoot MT-based and LLM-based localisation processes
Conduct quality assurance checks on localised content to verify linguistic and functional accuracy.
Document engineering procedures, standards, and best practices for localisation teams.
Stay updated on localisation technologies, industry standards, and best practices to continuously improve localisation processes.
Required Skills and Qualifications
Bachelor's degree in Computer Science, Linguistics, Localisation, or related field.
Experience with localisation engineering in a language services or software environment.
Proficiency with localisation file formats (XLIFF, JSON, TMX, etc.) and tools (e.g., Phrase, Trados, memoQ, Crowdin, Okapi).
Knowledge of scripting languages such as Python, Javascript, or VBA for task automation.
Understanding of character encoding, Unicode, and BiDi text processing.
Familiarity with software development methodologies and version control systems (e.g., Git, SVN).
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
Deep knowledge of Elearning formats and processes.
Familiarity with machine translation and post-editing workflows.