Backend Engineer

Kyndryl

. Architect, build, and scale backend services and APIs using C#, .NET Core, and ASP.NET Core .

Posted 11/4/2026full-timeRemote • Arizona • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and scaling backend services using C#, .NET Core, and ASP.NET Core, while integrating with legacy systems and third-party APIs. Proficient in implementing CI/CD processes and applying clean architecture principles to enhance software development workflows.

Highest-signal resume keywords

C# ProgrammingASP.NET Core DevelopmentCI/CD Pipeline ImplementationREST API Design and IntegrationAzure DevOps Experience

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Hard Skills

C#.NET CoreASP.NET CoreSQL ServerEntity Framework/CoreAI Coding AgentsMicroservices ArchitectureAutomated TestingDependency InjectionSOLID Principles

Soft Skills

CollaborationCommunicationProblem-SolvingTechnical DocumentationStakeholder Engagement

Tools & Technologies

Azure App ServicesAzure FunctionsApplication InsightsGitHub CopilotAzure Service BusKafkaRabbitMQXUnitNUnitMSTest

Certifications & Qualifications

Backend Framework CertificationsCloud Platform CertificationsAI-Assisted Development Certifications

Industry Keywords

Clean ArchitectureAgentic DevelopmentLegacy System IntegrationZero Trust SecurityEvent-Driven Architecture

Tech Stack

Tools & technologies

ASP.NETAzureCloudDistributed SystemsEntity FrameworkKafkaMicroservicesRabbitMQSQLVault.NET

About the role

Key responsibilities & impact

Architect, build, and scale backend services and APIs using C#, .NET Core, and ASP.NET Core
Integrate backend systems with legacy systems, third-party APIs, and existing data models
Apply clean architecture, SOLID principles, dependency injection, and repository/service patterns
Use AI coding agents throughout backend design, coding, testing, and code review
Implement and maintain agentic development workflows and CI/CD processes
Design and maintain APIs and services supporting agentic and LLM-powered experiences, including streaming responses and robust error handling
Integrate backend systems with multi-agent orchestration frameworks, agentic workflows, RAG pipelines, and real-time data needs
Collaborate with frontend and AI engineering teams
Partner with subject matter experts to translate business challenges into technical architectures
Participate in end-to-end delivery from scoping and prototyping through production deployment
Communicate technical trade-offs and solution impact to technical teams and executive stakeholders
Capture deployment learnings, document best practices, and share insights to improve AI platforms and frameworks
Collaborate with engineering leads to improve deployment pipelines and knowledge-sharing practices
Contribute to Azure DevOps CI/CD pipeline health, branching strategies, environment configuration, and deployment troubleshooting

Requirements

What you’ll need

5+ years of professional software engineering experience
Strong proficiency in C#, .NET Core, and ASP.NET Core
Hands-on experience using AI coding agents and agentic development tools, such as GitHub Copilot or Cursor, throughout the software development lifecycle
Experience 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
Practical SQL Server experience, including query optimization, stored procedures, Entity Framework/Core, and data modeling
Azure experience with Azure App Services, Functions, Service Bus, Key Vault, Storage, Application Insights, Azure SQL, and Azure DevOps CI/CD pipelines
Experience with large, enterprise-scale applications and 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
Knowledge of SOLID principles, dependency injection, repository/service patterns, clean architecture, and modern design patterns
Experience with automated unit testing, integration testing, and mocking
Zero trust security mindset, including secure API development, secrets management, authentication/authorization, and OWASP vulnerabilities
Ability to diagnose production issues using logging, monitoring, and telemetry tools such as Application Insights
Strong code quality practices, including code reviews, pull requests, refactoring, technical debt management, and coding standards
Ability to understand and work within large, complex enterprise codebases and modernize legacy systems
Degree-level qualification in Computer Science, Software Engineering, Informatics, Data Science, or a related technical field, or equivalent practical work experience
Preferred: backend testing frameworks such as xUnit, NUnit, or MSTest and mocking libraries such as Moq
Preferred: AI agent tools for automated code review, test generation, or refactoring
Preferred: event-driven/messaging platforms such as Azure Service Bus, Kafka, or RabbitMQ
Preferred: active technical contributions to AI platforms, open-source repositories, or internal frameworks
Preferred: experience modernizing existing backend systems
Preferred: active professional certifications in backend frameworks, cloud platforms, or AI-assisted development
Preferred: advanced degree in a related technical discipline

Benefits

Comp & perks

Employee learning programs with access to industry learning and certification opportunities, including Microsoft, Google, Amazon, Skillsoft, and many more
Company-wide volunteering and giving platform
Workplace inclusion networks and support
Well-being benefits supporting employees and their families
Fully remote work arrangement