Backend Engineer

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Backend Engineering & Delivery Architect, build, and scale backend services and APIs using C#, .NET Core, and ASP.NET Core, integrating with legacy systems, third-party APIs, and existing data models. Apply clean architecture, SOLID principles, dependency injection, and repository/service patterns to keep systems maintainable, testable, and scalable.         Agentic AI Development Practices Apply agentic AI development practices-using AI coding agents (such as GitHub Copilot) throughout the development lifecycle-to accelerate backend design, coding, testing, and code review.         Implement and maintain agentic development workflows and CI/CD processes, including automated pipelines that leverage AI agents for code review, test generation, and deployment validation. Design and maintain backend APIs and services that reliably support agentic and LLM-powered experiences, including streaming responses, robust error handling, and integration with multi-agent orchestration frameworks. Collaborate with frontend and AI engineering teams to ensure backend systems integrate cleanly with agentic workflows, RAG pipelines, and real-time data needs. Customer Engagement & Solution Integrity Partner directly with subject matter experts to understand business challenges, helping to translate complex requirements into high-quality, fit-for-purpose technical architectures. Take part in end-to-end technical delivery from scoping and prototyping to production deployment, prioritizing sustainable, long-term outcomes over temporary fixes. Bridge engineering rigor with business value, communicating technical trade-offs and solution impact confidently to both technical teams and executive stakeholders. Field Intelligence & Platform Contribution Systematically capture deployment learnings, document best practices, and share insights to continuously enhance Kyndryl's core AI platforms and frameworks. Collaborate daily with engineering leads to improve deployment pipelines and cultivate an open, knowledge-sharing engineering culture. Contribute to CI/CD pipeline health for backend build and release processes in Azure DevOps, including branching strategies, environment configuration, and deployment troubleshooting. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of  vaccination  to align with their respective COVID-19  vaccination  policies.  Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are Required Skills and Experience 5+ years of professional software engineering experience with strong proficiency in C#, .NET Core, and ASP.NET Core (modern versions, not primarily legacy .NET Framework). Hands-on experience using AI coding agents and agentic development tools (such as GitHub Copilot, Cursor, or similar) as a core part of the software development lifecycle, including implementing and maintaining agentic workflows within CI/CD pipelines. Experience designing, building, and integrating REST APIs, including authentication/authorization, error handling, versioning, and JSON-based communication with third-party and legacy systems. Practical SQL Server experience, including query optimization, stored procedures where appropriate, Entity Framework/Core, and data modeling - including working with existing complex data models. Azure experience, particularly Azure App Services, Functions, Service Bus, Key Vault, Storage, Application Insights, and Azure SQL, along with Azure DevOps CI/CD pipelines, branching strategies, and environment configuration. Experience working on large, enterprise-scale applications with multiple integrations across business domains, including legacy systems and outdated APIs.         Understanding of microservices and distributed systems, including messaging/event-driven patterns, asynchronous processing, retries, and resiliency. Applies modern architecture and design patterns - SOLID principles, dependency injection, repository/service patterns, and clean architecture - to keep codebases maintainable and scalable. Treats automated testing (unit, integration, and mocking) as a core part of development, not something owned solely by QA. Zero trust security mindset, including secure API development, secrets management, authentication/authorization, and avoiding common vulnerabilities (OWASP). Comfortable diagnosing production issues - from logs and performance bottlenecks to failed deployments and API/database problems - using logging, monitoring, and telemetry tools (such as Application Insights). Strong code quality mindset, including participating in code reviews, submitting frequent pull requests, refactoring, managing technical debt, and following team coding standards. Ability to understand existing systems holistically and work confidently within a large complex enterprise codebase including integrating with and modernizing legacy systems without assuming everything needs to be rewritten. Degree-level qualification in Computer Science, Software Engineering, Informatics, Data Science, or a related technical field (or equivalent practical work experience). Preferred Skills and Experience Experience with backend testing frameworks (such as xUnit, NUnit, or MSTest) and mocking libraries (such as Moq). Experience using AI agent tools for automated code review, test generation, or refactoring (such as Copilot Workspace, Cursor, or similar agentic coding assistants). Experi