Senior Integration Engineer (MuleSoft, AWS & Azure)

About the role

The Senior Integration Engineer designs, builds and delivers enterprise‑grade integration solutions that connect core business systems, digital platforms and cloud services. The role leads AI‑augmented architectures using MuleSoft Anypoint, Informatica IDMC, AWS and Azure Integration Services.

Key responsibilities

• Architect end‑to‑end integrations with API‑led connectivity, event‑driven and micro‑services patterns, defining API governance, versioning and security standards.
• Embed AI/ML models (AWS SageMaker, Bedrock, Azure Cognitive Services) into pipelines for intelligent routing, anomaly detection and predictive data quality.
• Develop and deploy integrations on MuleSoft, Informatica, AWS (EventBridge, Lambda, Glue) and Azure (Logic Apps, Service Bus, Data Factory), supporting real‑time and batch flows with ERP, CRM and SaaS systems.
• Ensure compliance with 21 CFR Part 11, HIPAA, GDPR and cGMP, implementing encryption, tokenization and GxP validation.
• Implement observability, monitoring and continuous improvement using logging, tracing and chaos engineering.

Required profile

• 7+ years of enterprise integration development, including 3+ years in a senior or lead role.
• Strong experience designing secure APIs (REST, GraphQL, OpenAPI/AsyncAPI) and event‑driven architectures.
• Proven ability to work with regulated data in life‑sciences or similar high‑reliability environments.

Required skills

• MuleSoft Anypoint Platform (Mule 4, DataWeave, API Manager, Runtime Fabric)
• Informatica IDMC / PowerCenter
• AWS services: API Gateway, EventBridge, Step Functions, Lambda, SQS/SNS, Kinesis, Glue, S3
• Azure Integration Services: Logic Apps, Service Bus, API Management, Data Factory, Event Grid
• API security: OAuth 2.0, OpenID Connect, mTLS, secrets management (AWS Secrets Manager, HashiCorp Vault)
• AI/ML integration: SageMaker, Bedrock, Azure Cognitive Services, prompt engineering
• Programming languages: Python, Java, JavaScript/Node.js, Groovy
• Data formats: JSON, XML, CSV, Avro, Parquet, EDI
• Container & CI/CD: Docker, Kubernetes, GitHub Actions, Jenkins, Azure DevOps
• Event streaming: Apache Kafka, AWS Kinesis, Azure Event Hubs