About The Position

isolved is executing a live, in-production decomposition of a 7M+ line HCM monolith into modern, event-driven microservices across key domains including Tax, Benefits, Time, Payroll, and Shared Logic. Using the Strangler Fig pattern, small, high-impact engineering teams extract and deploy independent services on Azure, each with its own data model. This work happens without disrupting real customers, requiring precision, ownership, and strong execution. Engineers play an active role in technical decisions, but the primary focus is delivering domain extraction at scale within a high-expectation, fast-moving environment.

Requirements

  • 7+ years of experience developing web applications and services, including 3+ years in cloud-native environments
  • Proficiency in Azure, .NET/C#, ASP.NET Core Web APIs, and SQL Server
  • Strong experience designing and building microservices and RESTful APIs
  • Hands-on experience with API gateways and API management best practices
  • Demonstrated use of AI-assisted development tools in professional workflows
  • Solid understanding of unit testing, SOLID principles, and secure API design (OAuth 2.0)
  • Familiarity with JavaScript and OpenAPI/Swagger documentation standards

Nice To Haves

  • Experience in HCM/payroll domains and familiarity with Azure services (Dapr, Service Bus, Container Apps, API Management) and CDC tools like Debezium

Responsibilities

  • Designing and implementing modern, scalable API architectures that support isolved's integration ecosystem and partner network
  • Defining API contracts, versioning strategies, and governance standards that ensure consistency and reliability across the platform
  • Driving the migration of legacy integration endpoints to modern RESTful and event-driven patterns as part of the integration modernization initiative
  • Building API consumers and producers with a strong focus on performance, security, and backward compatibility, and elevating the team's practices through code reviews, pairing, and leading by example
  • Performing code reviews to ensure API implementations meet quality standards and follow established patterns
  • Collaborating with product management and partner-facing teams to understand integration requirements and translate them into technical specifications
  • Identifying and resolving performance bottlenecks in API infrastructure, including latency, throughput, and reliability issues
  • Establishing and documenting best practices for API development, testing, and monitoring across the engineering organization
  • Using AI-assisted development tools - including agentic coding, spec-driven development, and AI-augmented code review - as a core part of your daily workflow to maximize velocity and code quality, and helping establish AI-augmented development practices across the team

Benefits

  • Disability Accommodation
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