Contract Sr. Software Engineer- Integration

Park Place TechnologiesHighland Heights, OH
5d

About The Position

The contractor is responsible for participating in all aspects of the software development life cycle from requirement gathering through user acceptance testing and implementation. In addition, this position will participate in the establishment and enforcement of programming patterns and standards, as well as providing mentorship to junior developers. This position will work closely with architects and platform teams to diagnose integration failures, implement resilient messaging patterns, and leverage AI assisted development and operational tools to improve troubleshooting, monitoring, and system reliability. This role requires comfort working directly in production integration pipelines, analyzing failures, and implementing fixes.

Requirements

  • C# / .NET / .NET Core
  • Azure integration services
  • Azure Functions
  • Azure Service Bus
  • Azure API Management
  • Event Grid / Event Hub
  • REST APIs, microservices, and event‑driven architectures
  • SQL and data transformation
  • CI/CD and DevOps practices
  • Experience with AI‑assisted development tools

Nice To Haves

  • Agile Methodology
  • Asynchronous Programming
  • Azure Data Bricks
  • Azure Data Factory
  • Azure Functions
  • Azure Logic Apps
  • Azure PAAS (platform as a service)
  • Browser Compatibility Testing
  • Cosmos DB
  • CQRS Pattern
  • Dependency Injection
  • Entity Framework & LINQ
  • MicroServices
  • OData
  • Python

Responsibilities

  • Develop and maintain .NET‑based APIs, microservices, and integration services
  • Build event‑driven integrations using Azure messaging platforms
  • Implement and support Azure Functions, Service Bus consumers, and event processors
  • Diagnose and resolve integration failures and distributed system issues
  • Implement resiliency patterns including retries, idempotency, and error handling
  • Support data transformation and message processing across enterprise systems
  • Improve observability, monitoring, and operational visibility of integrations
  • Use AI‑assisted tools to accelerate debugging, testing, and performance analysis
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