Sr. Microsoft .NET (ASP.NET Core) + Azure Engineer

Senior Microsoft .NET (ASP.NET Core) + Azure Engineer (Agentic Copilot)

Department: Engineering / Cloud Platforms / AI Enablement

Employment Type: Contract (12-18 months, Right-to-Hire preferrable)

About the Role

We're hiring a Senior .NET Core / Azure Engineer to build and modernize cloud-native services and APIs on Microsoft Azure, while accelerating delivery through agentic Copilot workflows . This role is hands-on: you will design, implement, test, and operate production services, and you'll also help teams adopt Copilot Agent Mode / agentic patterns to improve developer velocity and quality (e.g., multi-file refactors, test generation, repo instruction patterns, and spec-driven development workflows).


This is an opportunity to work on a strategic initiative where engineering standards, observability, security, and automation matter-along with modern SDLC practices and high-quality delivery.

Key Responsibilities

• Design, build, and operate ASP.NET Core services and APIs (REST/gRPC) with a focus on reliability, performance, and maintainability
• Build cloud-native solutions on Azure , leveraging services such as App Service / AKS , Azure networking, identity, and managed data services
• Implement modern architecture patterns: microservices , event-driven messaging , resilient integrations, and API-first design
• Establish strong engineering quality: unit/integration testing , code reviews, static analysis, security scanning, and CI/CD automation
• Build and tune observability: structured logging, metrics, tracing, dashboards, and actionable alerts
• Partner with platform and security teams to implement secure-by-default designs (identity, secrets, encryption, access controls)
• Apply agentic Copilot practices to accelerate delivery and improve quality:
  • Use Copilot Agent Mode to plan/execute changes across multiple files, assist with refactors, and generate tests and documentation
  • Create and maintain repo-level Copilot guidance (e.g., "copilot instructions") to standardize AI-assisted workflows across teams
  • Contribute patterns for "spec implementation" decomposition and repeatable engineering automation

Minimum Qualifications

• 7+ years of professional software engineering experience with strong depth in C# and .NET / ASP.NET Core
• 3+ years building and running services on AWS or Microsoft Azure (AKS/App Service, networking, identity, storage, monitoring)
• Strong experience with microservices , API design, distributed systems fundamentals, and integration patterns
• Solid experience with CI/CD , branching strategies, automated testing, and release practices
• Working knowledge of containers (Docker) and orchestration (preferably Kubernetes/AKS )
• Excellent troubleshooting skills in production environments; experience with performance tuning and incident response

Agentic Copilot / AI Engineering Expectations

You don't need to be an "AI researcher," but you must be fluent in modern AI-assisted engineering workflows:

• Hands-on experience with GitHub Copilot beyond autocomplete-especially Copilot Chat / Agent Mode behaviors that can implement multi-step tasks across a repo
• Ability to define guardrails so AI output is validated and bankable (tests, reviews, validation loops, security checks)
• Practical use of Copilot for modernization tasks: refactoring legacy code, reverse-engineering components, generating tests, and producing PR-quality summaries

Preferred Qualifications

• .NET 8 modernization experience and upgrading legacy .NET solutions (e.g., multi-project solutions, dependency cleanup, test migration)
• Azure architecture experience: AKS , private networking, managed identities, Key Vault, API Management
• Event streaming/messaging (e.g., Kafka/Event Hubs), async workflows, and idempotent processing patterns
• Experience building developer enablement assets: templates, "golden paths," repo standards, and Copilot instruction patterns

Why Join Us?

• Work on a high-impact engineering program using modern .NET + Azure cloud-native patterns
• Help scale engineering productivity through agentic Copilot adoption and repeatable AI-assisted delivery practices
• Collaborate with strong engineering peers who value quality, automation, observability, and secure engineering standards
• Clear path to full-time conversion within a 12-18 months window (Right-to-Hire)

Job Requirements