Jira–Azure DevOps Integration: The Complete Guide

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In today’s enterprise environments, Jira Azure DevOps integration is no longer optional — it's essential. These two tools often coexist: 

Jira for product planning, backlog grooming, and stakeholder visibility 
Azure DevOps (ADO) for development pipelines, testing, and release management 
Teams rely on both — but without a seamless Jira and ADO sync, collaboration quickly breaks down: 

• Manual duplication of work items
• Statuses out of sync across tools
• Gaps in audit trails and delivery visibility 

This guide walks you through how to integrate Jira with Azure DevOps, what to consider before doing it, and how to maintain real-time work item synchronization without disrupting current workflow

Why Integrate Jira and Azure DevOps? 

Without integration, work is fragmented. But when you sync Jira and Azure DevOps, you unlock: 

• Real-Time Visibility: PMs can track progress instantly, without chasing updates. 
• End-to-End Cross-Tool Traceability: From requirement to release, the story is complete — even across systems. 
• Minimal Context Switching: Devs work in Azure DevOps, PMs in Jira. Each team stays where they’re most productive. 
• Data Fidelity: Attachments, comments, custom fields — all synced automatically and accurately. 
• Audit-Ready Histories: For regulated teams or complex workflows, traceability is critical — and now effortless.

What to Consider Before You Start 

Choosing the right enterprise integration architecture is critical. Whether you're evaluating plugins, scripts, or integration platforms, make sure you check for: 

• Reliability: Can the sync handle failure gracefully and recover automatically? 
• Scalability: Can it handle the load as teams, projects, and issues grow? 
• Data Integrity: Will it prevent duplication, maintain history, and resolve conflicts? 
• Security & Compliance: Is access secured? Are credentials encrypted? Is it compliant with your org’s policies? 

These factors separate a short-term fix from a scalable DevOps project management solution. 

The Integration Platform Used in This Walkthrough 

For this walkthrough, we’re using OpsHub Integration Manager (OIM) — a platform built specifically to support complex, large-scale integrations across systems like Jira, Azure DevOps, and others. 

Unlike lightweight plugins or custom scripts that can struggle under scale or break during system changes, OIM is purpose-built to handle the realities of enterprise environments. 

It operates independently — outside your tools — with no need for admin rights or performance compromises. 

Here’s what it enables: 

• Full-fidelity sync of work items, comments, attachments, test data, and relationships 
• Seamless collaboration without requiring teams to leave their native tools 
• Built-in support for compliance, audit trails, and traceability 
• Flexibility to scale — from small teams to global rollouts 
  We’ve chosen this platform for its reliability and depth — especially in scenarios where sync failures, lost context, or downtime simply aren’t acceptable. 

Step-by-Step Jira ADO Integration Using OpsHub Integration Manager (OIM) 

A few prerequisites to consider before we proceed on with the integration: 

• OpsHub Integration Manager (OIM) should be installed on the machine before you proceed with the integration. 
• You should have OpsHub login credentials. 
• Each system has its own set of prerequisites for successful integration. Refer to the system-specific prerequisites section from our OIM guide. 

Step 1.1: Configure Jira system 

Once you log in, navigate to Configure Systems by clicking the plus sign at the top-right corner of the screen. 

 

•  Write Jira in the system type or select the Jira system from the system type list. 

 Step 1.2: Configure ADO system 

Now, as you configure the Jira System, select the ADO system from the system type list. 

• Provide the necessary configuration details for ADO system, then click to save it. 
• 

Step 2: Mapping the Entities 

Configuring the mapping after the systems are configured:

• Drag and drop the systems in the Configure System screen, to initiate the mapping. After you put the system, click ’Proceed To Mapping’. 

• It will redirect you to the Configure Mappings page automatically. Select your project and entity type here to proceed. 

• Here, you select the fields you want to map, check if you want to sync the comments and attachments, define the flow of information between the two systems, then click Create Mapping’ to save it. 

Step 3: Integration Creation 

• Once your mapping created, it would look like below, click the integrate button to proceed. 

• You need to check the name and direction of the Synced Projects 

• Now, you need to set up the polling time, and it will be based on your data at ADO. 

• Now you can click the ‘Save’ button to save your integration. After saving the integration, you will see something like the below screen. 

 Step 4: Activating the Integration 

• Click the expand button to see more information about integration/migration. If you hover over the Integration control button, you will see different buttons like below. We will mainly use the Activate Integration and Inactivate Integration buttons. You can use the InActive/Active button alternatively to change the status of your migration. 

Real-World Example: What Cross-Team Sync Looks Like in Practice 

In many organizations, project managers plan and track work in Jira, while development and QA teams execute in Azure DevOps. 

Without integration, teams often resort to manual updates — which can lead to delays, misalignment, and missed context. 

A well-structured Jira–Azure DevOps integration bridges that gap. Here’s how: 

• A project manager creates a feature in Jira. It syncs automatically to Azure DevOps. 
• Developers in ADO break it into user stories and begin work. 
• As stories are completed, status updates flow back to Jira in real time — no follow-ups needed. 
• QA logs bugs in Azure DevOps, and they appear in Jira, so PMs stay in the loop. 
• Once bugs are resolved, their statuses sync back, enabling the PM to close the feature. 
• That closure is reflected in both systems, keeping records aligned and traceable. 

With the right integration in place, teams don’t need to change how they work — they just work better together. Updates happen in real time, context is preserved, and everyone stays on the same page. 

 Conclusion 

Jira and Azure DevOps each play a crucial role in modern software delivery. But to unlock their full potential, integrating them is key. 

If your teams are focused on faster releases, higher quality, and better visibility, connecting these tools is a foundational step — one that helps you move faster without sacrificing structure or traceability. 

Make your Jira & Azure DevOps work as one. No rework. Just clean, reliable integration. Let's discuss.