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Open nowPosted 62 days ago

Backend Engineer - Oracle (Mid Level)

Workable (global search)108,016 open roles

Where
Bengaluru, KA, India
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Your applicationOpen nowBackend Engineer - Oracle (Mid Level)Workable (global search) · Bengaluru, KA, India

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  2. 3.6%3 days
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  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 62 days ago

Workable (global search) median: 7 days open

The posting

Position Overview

Oracle is seeking a motivated Backend Engineer (Mid Level) to join its product-modernisation team under a staff-augmentation model. Working under Oracle’s direct architectural oversight, the engineer will build the core middleware layer connecting Microsoft 365 environments with enterprise intelligence platforms. The work will focus on executing the Graph API Sync Layer, developing Admin Backend configuration services, managing the API Gateway layout and providing data-connectivity hooks for a proactive Agentic AI Orchestrator.

Key Responsibilities and Scope of Work

● Graph API Tasks Sync Service: Develop a timer-triggered, server-side backend service providing bidirectional synchronisation between Siebel CRM Actions/Coverage Approval Requests and the Microsoft Outlook Tasks surface (Microsoft To Do) through the Microsoft Graph Tasks API. ● Endpoint Detection and Dual Support: Implement tenant-level detection to dynamically manage connectivity across the legacy Exchange Tasks endpoint (/me/tasks) and the modern Microsoft To Do API (/me/todo/lists/{listId}/tasks). ● Webhook and Subscription Management: Configure and maintain Microsoft Graph subscription models, webhooks, delta queries and event-change notifications to process high-throughput, real-time message contexts. ● Admin Configuration Backend: Deliver the programmatic foundations of the administrative configuration dashboard, supporting settings for per-user sync lists, conflict-resolution policies such as Last-Write-Wins, deletion handling through soft or hard deletes and custom extended-property schema maps. ● Agentic AI Integration and Tool Mapping: Support the Agentic AI Orchestrator by exposing registered write-back target data definitions as dynamic tools through a Model Context Protocol (MCP) framework. ● Token Resilience and Queue Management: Manage delegated token flows (Tasks.ReadWrite) at a per-user scale using Nested App Authentication (NAA), and establish offline retry queues that preserve pending data changes during unexpected network disconnections.

Requirements

Required Technical Skills and Qualifications

● Core Backend Stack: Solid backend software-engineering experience using Node.js and TypeScript. ● Microsoft 365 and Graph Ecosystem: Deep hands-on proficiency with the Microsoft Graph API framework, specifically covering Mail, Calendar, Tasks and People domains. ● Identity Management: Strong familiarity with Microsoft Entra ID, OAuth 2.0 delegated/application permission models and token lifecycle management. ● Sync and Queue Engineering: Understanding of asynchronous processing, background workers, queuing mechanisms, exponential backoff rules and complex data-conflict synchronisation.

Preferred Skills

● Familiarity with enterprise API-integration patterns for LLM execution layers. ● Familiarity with prompt-context assembly. ● Familiarity with structural API Gateway management. ● 264/103-104 Pratap Nagar, Sanganer, Ja

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