Role Overview

The AIS Engineer is responsible for design, development/configuration, enhancements of Azure integration services (AIS) platform, including trouble shooting of APIs / Events / Data pipelines etc. This role involves implementation of interfaces for various initiatives using Azure API Management, Azure Functions / Logic Apps, ADF, Service Bus etc. Should be well versed with configurations, customizations and testing of AIS integrations to the internal / external systems / SaaS platforms.

Key Responsibilities

• Requirements analysis, Design and User interactions.
• Engage with users/other teams to gather integration requirements and coordinating with relevant teams to design a complete end to end integrated solution.
• Document and communicate effectively across teams involved with the ecommerce ecosystem.
• Initiate and participate in design/technical workshops, work with other teams, designers, project/product managers, and content creators, to design integrations, perform data mapping, arrive at types of integration needed for data flows across ecommerce platform.
• Create Interface definition docs.
• Support maintenance of AIS configurations and changes.
• Troubleshooting of data transfer failures and ensure guaranteed as well as complete data delivery.
• Performance and security: Ensure high performance, availability and implement security measures to protect the data being transferred.
• Maintenance and upgrades: Manage and support technical tasks like upgrades, deployments, and troubleshooting related issues.

Skills and Experience

• Working experience in AIS integrations Azure API Management, Azure Functions / Logic Apps, ADF, Blob storage, Service Bus etc.
• Working knowledge of data mapping, exception handling, error messaging, APIs, Queue and event-based integrations, ETL, Azure Functions / logic apps, ADF is a must.
• Utilize Azure CLI, Bicep, and ARM templates for infrastructure deployment and management.
• Experience in Java is Mandatory.
• Proficiency in implementing & troubleshooting REST APIs including OAuth 2.0, mTLS etc.
• Experienced in Git and version control systems.
• Understanding of CI/CD pipelines and Azure cloud services.
• Excellent problem-solving and communication skills.
• Task automation: Experience in automating content delivery/deployment and toil reduction is needed. Knowledge of AI tools for same is a plus.
• Working experience in Agile Scrum/Kanban Model of SDLC.