Senior Integration Engineer

People Impact

Bengaluru

Hybrid

INR 4,000,000 - 7,000,000

Full time

7 days ago
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Job summary

People Impact is seeking a Lead Integration Engineer in Bengaluru to design and operationalize enterprise integration solutions. You will connect product platforms, AI-enabled apps, APIs, and external services, define API design standards, and drive event-driven architectures.

You will work with SAP, ServiceNow, ERP, and workflow engines, focusing on scalable, observable, and mature integrations. Strong CI/CD and stakeholder communication are essential for success.

Qualifications

  • 6-9 years of experience in integration/middleware/API engineering.
  • Hands-on with cloud and integration platforms (Azure, MuleSoft, Boomi, Kafka, API gateways).
  • Expertise in REST APIs, JSON, OAuth2, OpenID Connect, webhooks, and schema management.
  • Experience integrating SAP, ServiceNow, ERP, ITSM, and workflow platforms.
  • Knowledge of agentic AI integration patterns (A2A, MCP).
  • Strong CI/CD, automated testing, observability, and operational support.

Responsibilities

  • Lead secure, scalable integration architectures across APIs, event streams, enterprise systems, and AI-enabled applications.
  • Define standards for REST APIs, messaging, orchestration, schema management, and lifecycle governance.
  • Implement integrations enabling GenAI and agentic AI systems to interact with enterprise platforms.
  • Drive practices for API versioning, authentication, resiliency, observability, and backward compatibility.
  • Collaborate with architects, AI engineers, and product stakeholders to translate use cases into integration designs.
  • Ensure integrations are observable, testable, supportable, and operationally mature.
  • Mentor engineers and contribute reusable artifacts (API standards, schema templates, accelerators).

Skills

REST APIs
OAuth2/OpenID Connect
CI/CD/Observability
Stakeholder communication

Tools

Azure API Management
Logic Apps
Functions
Service Bus
Event Grid
MuleSoft
Boomi
Kafka
Apigee
Kong
AWS API Gateway
SAP
ServiceNow

Job description

As a Lead Integration Engineer, you will design, implement, and operationalize enterprise integration solutions that connect product platforms, AI-enabled applications, workflow systems, APIs, business systems, and external services. You will define best practices for API design, event-driven architectures, service orchestration, lifecycle management, and AI-aware integration patterns (GenAI, agent-to-agent, MCP).

Key Responsibilities
  • Lead secure, scalable integration architectures across APIs, event streams, enterprise systems, and AI-enabled applications.
  • Define standards for REST APIs, messaging, orchestration, schema management, and lifecycle governance.
  • Implement integrations enabling GenAI and agentic AI systems to interact with enterprise platforms (SAP, ServiceNow, workflow engines).
  • Drive practices for API versioning, authentication, resiliency, observability, and backward compatibility.
  • Collaborate with architects, AI engineers, and product stakeholders to translate use cases into integration designs.
  • Ensure integrations are observable, testable, supportable, and operationally mature.
  • Mentor engineers and contribute reusable artifacts (API standards, schema templates, accelerators).
Required Qualifications
  • 6-9 years in integration/middleware/API engineering.
  • Hands-on with Azure API Management, Logic Apps, Functions, Service Bus, Event Grid, or equivalents (MuleSoft, Boomi, Kafka, Apigee, Kong, AWS API Gateway).
  • Expertise in REST APIs, JSON, OAuth2, OpenID Connect, webhooks, schema management, event-driven communication.
  • Experience integrating with SAP, ServiceNow, ERP, ITSM, workflow platforms.
  • Knowledge of agentic AI integration patterns (tool invocation, A2A, MCP).
  • Strong CI/CD, automated testing, observability, and operational support experience.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience with GenAI/agentic AI integrations, MCP, A2A.
  • Familiarity with Azure OpenAI, Semantic Kernel, LangChain.
  • Exposure to SAP BTP, workflow orchestration, API governance.
  • Reliability engineering (idempotency, dependency tracing, failure injection).
  • Experience in build-own-operate product organizations.

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