Location / Remote: Hybrid in Cleveland, OH, 44143 (3 days per week onsite).
Employment Type: 6-month W-2 contract (possibility to extend)
Compensation: up to 100/hour W-2 (depending on experience).
Benefits: Medical, dental, vision, LTD/STD, HSA/FSA, term life, and supplemental health insurances (e.g., Aflac) for all employees (and their families if needed).
The .NET Architect (Hands-On) role focuses on designing, building, and stabilizing enterprise integrations across distributed systems using .NET, Microsoft Azure, and AI-enabled tools. This position combines architectural leadership with hands-on development to deliver scalable, reliable API-based and event-driven integration solutions. Success in this role requires technical expertise, problem-solving skills, and the ability to troubleshoot and stabilize production systems.
Responsibilities:
Design and implement cloud-native integration architectures using Azure.
Build and maintain .NET-based APIs, event processors, and integration services.
Develop event-driven integrations using Azure Service Bus, Event Hub, and related services.
Troubleshoot and stabilize production integration pipelines and distributed systems.
Implement reliability patterns such as idempotency, retries, and message validation.
Collaborate with platform, data, security, and application teams to ensure seamless integration.
Apply CI/CD and DevOps practices to streamline deployment and operations.
Required Skills:
8 10+ years of software engineering experience, including 5+ years in enterprise integration.
Proficiency in C# / .NET / .NET Core.
Hands-on experience with Azure Functions, Service Bus, API Management, Event Grid, and Event Hub.
Expertise in REST APIs, microservices, and event-driven architectures.
Strong knowledge of SQL and data transformation techniques.
Proven ability to support and troubleshoot cloud-based distributed systems.
Familiarity with implementing reliability patterns such as idempotency and retries.
Preferred Skills:
Experience improving observability, monitoring, and operational insights.
Familiarity with AI-assisted tools for development, debugging, and integration analysis.
Knowledge of automation tools and AI-assisted development practices.
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