IT Applications Specialist II

Job Summary:

The Senior Software Engineer - .NET Backend is responsible for designing, developing, and maintaining scalable backend services and APIs for Industrial IoT, condition monitoring, and asset management platforms, ensuring strong technical ownership across service architecture, database, cloud, and integration layers.

This role acts as a key contributor between business requirements, Product needs, and engineering execution, translating requirements related to connected assets, equipment health, telemetry data, reliability workflows, and customer-facing digital experiences into secure, reliable, and production-ready backend solutions.

The role also contributes to making backend applications AI-ready by enabling integration with AI/ML models, Azure AI services, APIs, telemetry pipelines, and cloud-native architectures to support automation, predictive insights, decision-making, and intelligent user experiences.

The ideal candidate brings 5-8 years of backend engineering experience with .NET technologies, strong API design and database skills, and the ability to deliver high-quality, performant, secure, and maintainable services for Industrial IoT and asset management solutions.

Roles and Responsibilities:

· Design, develop, test, and maintain backend services, APIs, and application components using .NET Core, C#, ASP.NET Core, Web API, Entity Framework, and SQL Server.

· Build secure, reliable, and scalable backend capabilities for Industrial IoT, condition monitoring, connected assets, telemetry processing, and asset management applications.

· Develop REST APIs, background services, data access layers, integration services, and business logic components aligned with product and platform requirements.

· Collaborate with Product Owners, Business Analysts, Architects, frontend engineers, QA, DevOps, and support teams to deliver backend features and integrations.

· Implement integration with internal and external systems, telemetry APIs, cloud services, AI/ML services, and enterprise platforms.

· Contribute to AI-ready backend architecture by enabling clean APIs, structured data access, telemetry data consumption, and integration points for AI/ML models and Azure AI services.

· Write clean, reusable, maintainable, and testable code following engineering standards and secure coding practices.

· Participate in technical design discussions, code reviews, estimation, debugging, troubleshooting, and production issue resolution.

· Optimize application performance, SQL queries, API response times, error handling, logging, and monitoring capabilities.

· Support CI/CD pipelines, Docker-based deployments, cloud environment configuration, and release readiness activities.

· Create and maintain technical documentation, API documentation, implementation notes, and support handover documents.

Qualifications:

· Bachelor’s degree in Computer Science, Information Technology, Engineering, or related technical field.

· 5 to 8 years of professional backend software development experience using Microsoft .NET technologies.

· Strong hands-on experience with C#, .NET Core, ASP.NET Core, Web API, Entity Framework, and backend application development.

· Strong experience with SQL Server, database design, stored procedures, indexing, query optimization, and performance tuning.

· Experience designing and implementing RESTful APIs, service integrations, and enterprise application components.

· Good understanding of cloud platforms, preferably Microsoft Azure, and cloud-hosted application development.

· Experience with Git, CI/CD pipelines, Docker, and modern software delivery practices.

· Working knowledge of application security, authentication, authorization, logging, exception handling, and monitoring.

· Ability to analyze requirements, break down technical tasks, and deliver high-quality software increments.

· Strong problem-solving, communication, ownership, and collaboration skills.

Skills:

· Strong proficiency in .NET Core, C#, ASP.NET Core, Web API, Entity Framework, SQL Server, and backend service development.

· Good understanding of Industrial IoT, telemetry data, connected assets, condition monitoring, equipment health, and asset management workflows.

· Ability to build reliable APIs, scalable services, optimized database queries, and maintainable backend components.

· Knowledge of integration patterns, microservices concepts, cloud services, DevOps practices, and production support readiness.

· Ability to work with architects and technical leads to implement designs aligned with platform and product objectives.

· Strong focus on code quality, testing, performance, security, documentation, and maintainability.

Preferred / Good to Have:

· Exposure to AI/ML model integration, Azure AI services, Azure OpenAI, Cognitive Services, or similar AI platforms.

· Experience in Manufacturing, Industrial IoT, condition monitoring, asset management, reliability engineering, or connected equipment domains.

· Experience with event-driven architecture, message queues, streaming data, telemetry platforms, or real-time monitoring applications.

· Exposure to frontend technologies such as Angular, React, JavaScript, or TypeScript is a plus.

· Microsoft Azure, .NET, database, or DevOps certifications are preferred

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