NLS Automation Engineer – AI & Platform Engineering
Role Summary
We are seeking an experienced NLS Automation Engineer responsible for automating Native Language Support (NLS) activities and integrating localization validation into CI/CD pipelines and engineering workflows. The role combines expertise in test automation, backend development, AI-driven solutions, and DevOps to improve software quality and developer productivity.
The ideal candidate will design and build scalable automation frameworks, intelligent tooling, and AI-powered solutions for localization testing and engineering productivity.
Key Responsibilities
Native Language Support (NLS) Automation
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Design, develop, and maintain automated frameworks for localization and internationalization testing.
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Automate NLS test execution through CI/CD pipelines and other automation mechanisms.
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Validate application behavior across multiple languages and locales.
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Verify translations, text rendering, character encoding, and Unicode compliance.
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Detect layout issues including text truncation, overflow, and RTL (Right-to-Left) versus LTR (Left-to-Right) rendering problems.
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Automate language switching and locale-specific workflows.
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Build reusable libraries and utilities for localization validation.
AI-Driven Automation & RAG Solutions
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Develop AI-powered engineering tools and productivity solutions.
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Build Retrieval-Augmented Generation (RAG) systems using LLM technologies.
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Create intelligent failure analysis systems that analyze logs and recommend root causes and fixes.
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Develop AI-assisted test generation and engineering knowledge assistants.
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Integrate Azure OpenAI/OpenAI APIs into automation platforms.
Backend Engineering (.NET)
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Develop backend services and internal platforms using C# and .NET Core.
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Design scalable microservices and REST APIs.
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Implement asynchronous processing and service integrations.
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Build automation platforms supporting engineering and quality workflows.
DevOps & CI/CD Integration
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Integrate automation frameworks with Azure DevOps pipelines.
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Automate test execution, reporting, and failure analysis.
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Develop workflow automation for build, validation, and release processes.
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Create YAML-based CI/CD pipelines and engineering productivity tools.
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Support source control systems including Git and TFVC.
Platform Engineering
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Build reusable and scalable automation frameworks rather than one-off scripts.
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Develop developer productivity tools and engineering platforms.
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Promote best practices in automation, code quality, and maintainability.
Required Technical Skills
Programming & Backend Development
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Strong experience with C# and .NET Core/.NET 6+
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REST API development
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Microservices and scalable backend architecture
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Object-oriented design and dependency injection
AI / LLM Technologies
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Understanding of Retrieval-Augmented Generation (RAG) architecture
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Experience with Azure OpenAI or OpenAI APIs
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Prompt engineering and LLM integration
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Vector databases and semantic search concepts
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Knowledge of AI-assisted automation frameworks
Localization / Internationalization
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Unicode and UTF-8 character handling
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RTL and LTR language support
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Locale-specific formatting (date, currency, number formats)
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Font rendering and multilingual UI validation
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Text truncation and layout verification
Test Automation
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Experience with Selenium, Playwright, Appium, or similar frameworks
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UI automation and regression testing
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Test framework design and implementation
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Snapshot/image-based validation techniques
DevOps & CI/CD
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Azure DevOps pipelines
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YAML-based pipeline development
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Build and test orchestration
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Git and source control management
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Continuous Integration and Continuous Deployment practices
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Scripting
Preferred Qualifications
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Experience developing AI-enabled automation platforms.
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Knowledge of developer productivity tools and engineering systems.
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Familiarity with cloud services and Azure ecosystem.
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Experience building reusable frameworks and shared libraries.
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Strong debugging, analytical, and problem-solving skills.
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Ability to collaborate effectively across development, QA, and platform teams.
Desired Candidate Profile
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Strong software engineering fundamentals.
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Platform mindset with focus on scalable solutions.
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Hands-on coding expertise in C#/.NET.
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Experience in test automation and DevOps practices.
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Understanding of localization and internationalization challenges.
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Passion for AI-driven engineering and automation.
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Ability to drive innovation and improve engineering productivity.
Preferred Tools & Technologies
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C#, .NET Core
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Azure DevOps
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Git / TFVC
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Selenium / Playwright / Appium
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PowerShell / Python
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Azure OpenAI / OpenAI APIs
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Vector databases (FAISS, Azure AI Search, etc.)
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YAML Pipelines
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REST APIs and Microservices
