NLS Automation Engineer

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

• Design, develop, and maintain automated frameworks for localization and internationalization testing.
• Automate NLS test execution through CI/CD pipelines and other automation mechanisms.
• Validate application behavior across multiple languages and locales.
• Verify translations, text rendering, character encoding, and Unicode compliance.
• Detect layout issues including text truncation, overflow, and RTL (Right-to-Left) versus LTR (Left-to-Right) rendering problems.
• Automate language switching and locale-specific workflows.
• Build reusable libraries and utilities for localization validation.
  
  

AI-Driven Automation & RAG Solutions

• Develop AI-powered engineering tools and productivity solutions.
• Build Retrieval-Augmented Generation (RAG) systems using LLM technologies.
• Create intelligent failure analysis systems that analyze logs and recommend root causes and fixes.
• Develop AI-assisted test generation and engineering knowledge assistants.
• Integrate Azure OpenAI/OpenAI APIs into automation platforms.
  
  

Backend Engineering (.NET)

• Develop backend services and internal platforms using C# and .NET Core.
• Design scalable microservices and REST APIs.
• Implement asynchronous processing and service integrations.
• Build automation platforms supporting engineering and quality workflows.
  
  

DevOps & CI/CD Integration

• Integrate automation frameworks with Azure DevOps pipelines.
• Automate test execution, reporting, and failure analysis.
• Develop workflow automation for build, validation, and release processes.
• Create YAML-based CI/CD pipelines and engineering productivity tools.
• Support source control systems including Git and TFVC.
  
  

Platform Engineering

• Build reusable and scalable automation frameworks rather than one-off scripts.
• Develop developer productivity tools and engineering platforms.
• Promote best practices in automation, code quality, and maintainability.
  
  

Required Technical Skills

Programming & Backend Development

• Strong experience with C# and .NET Core/.NET 6+
• REST API development
• Microservices and scalable backend architecture
• Object-oriented design and dependency injection
  
  

AI / LLM Technologies

• Understanding of Retrieval-Augmented Generation (RAG) architecture
• Experience with Azure OpenAI or OpenAI APIs
• Prompt engineering and LLM integration
• Vector databases and semantic search concepts
• Knowledge of AI-assisted automation frameworks
  
  

Localization / Internationalization

• Unicode and UTF-8 character handling
• RTL and LTR language support
• Locale-specific formatting (date, currency, number formats)
• Font rendering and multilingual UI validation
• Text truncation and layout verification
  
  

Test Automation

• Experience with Selenium, Playwright, Appium, or similar frameworks
• UI automation and regression testing
• Test framework design and implementation
• Snapshot/image-based validation techniques
  
  

DevOps & CI/CD

• Azure DevOps pipelines
• YAML-based pipeline development
• Build and test orchestration
• Git and source control management
• Continuous Integration and Continuous Deployment practices
• Scripting
  
  

Preferred Qualifications

• Experience developing AI-enabled automation platforms.
• Knowledge of developer productivity tools and engineering systems.
• Familiarity with cloud services and Azure ecosystem.
• Experience building reusable frameworks and shared libraries.
• Strong debugging, analytical, and problem-solving skills.
• Ability to collaborate effectively across development, QA, and platform teams.
  
  

Desired Candidate Profile

• Strong software engineering fundamentals.
• Platform mindset with focus on scalable solutions.
• Hands-on coding expertise in C#/.NET.
• Experience in test automation and DevOps practices.
• Understanding of localization and internationalization challenges.
• Passion for AI-driven engineering and automation.
• Ability to drive innovation and improve engineering productivity.
  
  

Preferred Tools & Technologies

• C#, .NET Core
• Azure DevOps
• Git / TFVC
• Selenium / Playwright / Appium
• PowerShell / Python
• Azure OpenAI / OpenAI APIs
• Vector databases (FAISS, Azure AI Search, etc.)
• YAML Pipelines
• REST APIs and Microservices