Kyndryl

Backend Engineer

Kyndryl
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2 days ago
Remote, United States or Phoenix, AZ, USASenior
H1B sponsor

Responsibilities

  • 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, existing data models, and agentic or LLM-powered experiences.
  • Implement agentic development workflows using AI coding agents for design, coding, testing, code review, and deployment validation.
  • Maintain Azure DevOps build and release pipelines, including branching strategies, environment configuration, and deployment troubleshooting.
  • Design APIs with authentication, authorization, error handling, versioning, streaming responses, and JSON-based communication.
  • Apply clean architecture, SOLID principles, dependency injection, repository/service patterns, and distributed-systems practices.
  • Collaborate with frontend, AI engineering, engineering leads, subject-matter experts, and executive stakeholders on end-to-end technical delivery.
  • Diagnose production issues involving logs, performance bottlenecks, failed deployments, APIs, and databases.
  • Document deployment learnings, share best practices, and contribute to Kyndryl’s AI platforms and internal frameworks.

Requirements

  • At least 5 years of professional software engineering experience with strong C#, .NET Core, and ASP.NET Core proficiency.
  • Hands-on experience with AI coding agents such as GitHub Copilot, Cursor, or similar tools as part of the software development lifecycle.
  • Experience designing, building, and integrating REST APIs with authentication, authorization, error handling, versioning, and third-party or legacy-system integration.
  • Practical SQL Server experience, including query optimization, stored procedures, Entity Framework/Core, and complex data modeling.
  • Experience with Azure services including App Services, Functions, Service Bus, Key Vault, Storage, Application Insights, and Azure SQL.
  • Experience with enterprise-scale applications, microservices, distributed systems, messaging or event-driven patterns, asynchronous processing, retries, and resiliency.
  • Experience with automated unit, integration, and mocking tests, code reviews, refactoring, pull requests, and technical-debt management.
  • Understanding of secure API development, secrets management, authentication and authorization, zero-trust security, and common vulnerabilities.
  • Ability to understand, modernize, and incrementally improve complex enterprise and legacy systems.
  • Degree-level qualification in Computer Science, Software Engineering, Informatics, Data Science, or a related technical field, or equivalent practical work experience.
  • Preferred experience includes xUnit, NUnit, MSTest, Moq, Copilot Workspace, Azure Service Bus, Kafka, RabbitMQ, and asynchronous processing.
  • Preferred qualifications include contributions to AI platforms, open-source repositories, or internal frameworks; backend, cloud, or AI-assisted-development certifications; and an advanced degree.

Benefits

  • Access to employee learning programs and certification opportunities from providers including Microsoft, Google, Amazon, and Skillsoft.
  • Company-wide volunteering and giving platform supporting donations, fundraisers, volunteering, and nonprofit searches.
  • Employee inclusion networks and support for an equitable, inclusive workplace.
  • Employees working at client, customer, or partner locations may need to provide proof of vaccination under the applicable location’s policy, with medical or religious accommodations available.

Tech Stack

Apache KafkaAWSAzureC#Google Cloud PlatformMicrosoft SQL ServerNUnitRabbitMQ

Categories

Kyndryl

About Kyndryl

10,000+ employees

Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.

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