Senior Software Engineer

Job Summary

Required Qualifications

• •Modern Microsoft-oriented full-stack environment experience
• •C# and .NET 10
• •Entity Framework Core
• •SignalR
• •MySQL
• •Redis
• •TypeScript
• •React
• •Redux
• •Tailwind CSS
• •Docker
• •.NET Aspire
• •Azure Functions
• •Azure Storage
• •Azure AI Search
• •Azure DevOps
• •Strong engineering fundamentals
• •Practical cloud experience
• •Ability to collaborate effectively across globally distributed teams
• •Custom software development experience
• •Application modernization experience
• •Integration with low-code or hybrid development environments
• •Establish shared patterns, APIs, reusable components, and maintainable application architecture
• •Design, develop, test, and maintain scalable application and platform capabilities
• •Build cohesive product experiences across web applications, backend services, APIs, user interfaces, and platform integrations
• •Work directly with Product and Architecture stakeholders to shape requirements, evaluate technical approaches, and translate product direction into maintainable, production-ready software
• •Participate actively in code reviews, technical design discussions, estimation, delivery planning, and implementation decisions
• •Write clean, well-structured, testable, and maintainable code
• •Own product capabilities through design, implementation, deployment, monitoring, maintenance, and iterative improvement
• •Develop modern full-stack product capabilities using C#, .NET 10, Entity Framework Core, SignalR, TypeScript, React, Redux, Tailwind CSS, and related technologies
• •Build responsive, reusable, and accessible frontend experiences using TypeScript, React, Redux, and Tailwind CSS
• •Integrate with secure and maintainable .NET backend services
• •Support application modernization efforts, including refactoring, technical debt reduction, framework upgrades, and migration from legacy patterns
• •Develop application capabilities used for structured review workflows, document-heavy collaboration, issue tracking, customer interaction, reporting, and delivery of technical work products
• •Partner with Product and design stakeholders to ensure application functionality is intuitive, reliable, and aligned with user workflows
• •Use AI-assisted development tools to accelerate coding, testing, documentation, refactoring, and engineering analysis
• •Apply strong engineering judgment when using LLM-enabled workflows
• •Ensure generated or assisted code meets standards for quality, security, maintainability, and performance
• •Contribute to reusable development patterns, documentation, and engineering practices
• •Support test generation, code review preparation, technical documentation, and developer productivity using AI-enabled tools
• •Develop APIs, backend services, frontend components, and integration patterns that support platform interoperability
• •Collaborate with Solution Architecture, Data & AI Engineering, Solution Engineering, and Platform Reliability
• •Integrate applications with data services, AI-enabled capabilities, workflow configurations, authentication patterns, and enterprise systems
• •Support the appropriate balance between custom application development, reusable platform services, low-code configuration, and API-enabled capabilities
• •Modernize and integrate existing applications into a cohesive platform architecture
• •Contribute to modular application architecture and service boundaries across .NET applications, frontend clients, shared services, data stores, and Azure-hosted capabilities
• •Integrate data-driven, search, agentic, and AI-enabled capabilities into production web applications using well-defined APIs and reusable application patterns
• •Collaborate with Data & AI Engineering on Azure AI Search indexes, retrieval pipelines, model and agent outputs, calculation services, data APIs, evaluation approaches, and user-facing AI experiences
• •Ensure AI-enabled and data-driven features are implemented in ways that are reliable, testable, secure, and understandable to users
• •Build application interfaces and services that make data, AI outputs, workflow status, and platform capabilities accessible within the user experience
• •Contribute to Azure DevOps repositories and pipelines, automated testing, deployment automation, environment management, monitoring, and incident readiness
• •Build software with strong attention to reliability, performance, availability, scalability, and operational support
• •Support observability practices including logging, monitoring, error handling, and production diagnostics
• •Follow secure development practices aligned with internal security standards, SOC 2 Type II, ISO 27001, and enterprise security expectations
• •Collaborate with Platform Reliability, Security, and Global Shared Services teams to support secure, reliable, and maintainable production systems
• •Work effectively with Product, Solution Engineering, Data & AI Engineering, Platform Reliability, Architecture, Security, and regional teams in a globally distributed environment
• •Take ownership of assigned features, services, defects, and technical improvements from design through production support
• •Communicate technical tradeoffs clearly and contribute to pragmatic engineering decisions
• •Mentor less experienced engineers through code reviews, technical guidance, pairing, and shared engineering practices