Senior ( Core)

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior ( Core) Azure Engineer (Agentic Copilot)
must be eligible to be converted to FTE after 6-12 months when offered

Experience Level: 12 years
Department: Engineering / Cloud Platforms / AI Enablement
Employment Type: Contract (12 18 months Right to Hire preferable)

About the Role

Were hiring a 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 youll 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 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 Copilotpractices 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# / 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 dont 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 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

Senior ( Core) Azure Engineer (Agentic Copilot) must be eligible to be converted to FTE after 6-12 months when offered Experience Level: 12 years Department: Engineering / Cloud Platforms / AI Enablement Employment Type: Contract (12 18 months Right to Hire preferable) About the Rol...