





Strong employer brand, metro location, and mid-level role increase candidate competition.
Specialized enterprise integration and platform experience makes background moderately sensitive and less easily transferable without platform exposure.
Explicit 6–8+ years plus mandatory integration platforms, enterprise systems, and CI/CD/observability requirements enforce stringent filters.
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Lead design and operationalization of secure, scalable integration architectures across APIs, event streams, enterprise systems, workflow platforms, and AI-enabled applications.
Define and enforce integration standards including API design, event-driven workflows, versioning, security, observability, and lifecycle management for enterprise-grade solutions.
Collaborate with architects and product teams to deliver operationally mature integrations supporting GenAI, agentic AI, and enterprise platforms like SAP and ServiceNow.
6 to 8+ years of experience in integration, middleware, API, or enterprise platform engineering roles.
Hands-on experience with Azure API Management, Logic Apps, Functions, Service Bus, Event Grid or equivalent platforms such as MuleSoft, Boomi, Kafka, Apigee, AWS API Gateway.
Strong expertise in REST APIs, OAuth2, OpenID Connect, asynchronous messaging, event-driven communication, API versioning, and backward compatibility.
Practical experience integrating with enterprise systems like SAP, ServiceNow, ERP, ITSM, workflow platforms, with strong understanding of integration lifecycle management and CI/CD for integrations.
Experienced technical leader combining deep integration engineering skills with enterprise system awareness and product mindset.
Ability to lead and mentor teams on API design, eventing patterns, integration testing, and supportability in complex distributed environments.
Familiarity with emerging AI integration patterns (agentic AI, tool invocation, MCP, agent-to-agent) and enterprise integration standards with strategic influence across teams.