How To Connect Jira with Azure DevOps

Using Jira and Azure DevOps together can surely improve workflows — but without integration, teams end up duplicating tasks, missing updates, and losing visibility across systems.

Development teams may work in Azure DevOps, while product managers and support teams rely on Jira for issue tracking and project management. When these tools operate separately, it creates silos and slows down collaboration. That’s why many organizations look for ways to connect Jira with Azure DevOps and enable seamless collaboration across tools.

This guide explains how to connect Jira with Azure DevOps, what integration options exist, and how to choose the right approach for your workflows.

Why Connect Jira with Azure DevOps?

Jira and Azure DevOps serve different but complementary roles in software development.

• Jira (Atlassian Jira) is widely used for issue tracking, backlog management, and agile workflows
• Microsoft Azure DevOps supports development pipelines, repositories, pull requests, and deployment jobs

When teams use both tools separately, common challenges appear:

• Manual updates between systems
• Lack of visibility into development progress
• Duplicate tasks and inconsistent data
• Misalignment between technical and business teams

A proper Jira Azure DevOps integration solves these problems by enabling automatic synchronization of work items, issues, and other development data.

What Does Jira Azure DevOps Integration Enable?

When you integrate Jira with Azure DevOps, you can:

• Sync Jira app work items and Azure DevOps work items
• Link commit messages, pull requests, and deployment events
• Share deployment information across tools
• Maintain consistent data across multiple systems
• Provide complete visibility for project managers and stakeholders

This is especially important for organizations working across:

• A single Jira instance and multiple Azure DevOps organizations
• Jira Cloud and Azure DevOps accounts
• Distributed teams using different tools

Ways to Connect Jira with Azure DevOps

There are multiple ways to integrate Azure DevOps with Jira depending on your requirements, scalability needs, and technical complexity.

1. Native Integrations (Limited Capabilities)

Basic integration capabilities of Azure DevOps for Jira are possible through built-in connectors and lightweight apps.

What you can do:

• Link Jira work items to development work
• Connect commit messages with Jira work item keys
• Display development information inside Jira

Limitations:

• No real data synchronization
• No advanced sync rules
• Limited support for custom fields
• No multi-instance or multi-project support

This approach works for simple visibility use cases, but not for full synchronization.

2. Marketplace Apps (Atlassian Marketplace)

The Atlassian Marketplace offers apps designed for Azure DevOps Jira integration, enabling teams to connect Jira Cloud or Jira Data Center with Azure DevOps.

These apps vary significantly in capabilities.

Basic marketplace apps allow you to:

• Link Jira issues with Azure DevOps work items
• Sync selected fields between systems
• Enable simple automation

However, more advanced platforms, beyond offering On-Premise deployments, are also available through the marketplaces. One of them is Getint integration platform.

It goes further by providing:

• Connection between Azure DevOps and Jira work items through the no-code, configuration screen
• Advanced field mapping, including custom fields
• Support for multiple Azure DevOps organizations, Jira instances, and even ADO code repositories
• Flexible sync rules tailored to different teams
• Near real-time updates without manual intervention

This makes such integration solution suitable for organizations that need reliable, scalable integration across multiple tools and teams.

3. Custom Integration (APIs and Scripts)

Some organizations build their own integration using:

• REST APIs
• Webhooks
• Groovy scripts or middleware

Advantages:

• Full control over data flow
• Custom logic tailored to internal systems

Challenges:

• High development and maintenance cost
• Requires ongoing monitoring
• Difficult to scale across multiple Azure DevOps and Jira projects

Custom integration is usually chosen by enterprises with dedicated engineering resources.

Quick Comparison Table of Jira Azure DevOps Integration Methods

How to Connect Jira with Azure DevOps Using Getint

For teams looking for a scalable approach, the integration solution like Getint simplifies the whole process by starting connection from the Jira side. Let's take a closer look at the instructions.

Step-by-Step Setup

Start by enabling third-party application access by installing it via the Atlassian Marketplace.

1. Connect systems
   Link your Jira instance and Azure DevOps organization using secure authentication (enable OAuth or API keys).

1. Configure sync rules
   Define how both Jira and Azure DevOps work items should synchronize.
2. Map fields
   Configure mappings for:
   • Status
   • Assignees
   • Custom fields
   • Iteration paths

1. Set sync direction
   Choose one-way or two-way synchronization depending on your needs.

1. Enable automatic synchronization
   Activate real-time updates by clicking "Apply", and start remove manual work.
2. Monitor integration
   Use the configuration view to track synchronization and adjust rules if needed.

For a comprehensive overview and configuration options, head to Alex Ortiz video below.

Key Features to Look For

When choosing how to integrate Azure DevOps to Jira, focus on:

• Automatic synchronization (no manual updates)
• Support for custom fields
• Ability to connect multiple Azure DevOps organizations
• Visibility into deployment events and pipelines
• Support for pull requests, commits, and development data
• Flexible sync rules across teams

Common Use Cases

Organizations typically connect Jira and Azure DevOps to support real-world collaboration between technical and business teams. Below are the most common scenarios where integration brings immediate value.

Align Development Teams and Product Managers

In many organizations, product managers plan and prioritize work in Jira, while developers execute it in Azure DevOps. Without integration, updates must be shared manually.

By connecting Jira and Azure DevOps:

• Product teams can track progress directly from Jira
• Developers continue working in Azure DevOps without switching tools
• Both sides stay aligned on priorities, statuses, and delivery timelines

Sync Tasks, Bugs, and Work Items Across Systems

One of the most common use cases is synchronizing Jira issues with Azure DevOps work items.

This allows teams to:

• Automatically create linked items in both systems
• Keep statuses, comments, and fields up to date
• Avoid duplicate work and manual updates

This is especially important when different teams use separate tools but contribute to the same project.

Track Deployment Information in Jira

Development activity often lives in Azure DevOps, including:

• Deployment jobs
• Release pipelines
• Pull requests
• Commit messages

With proper integration, this data can be linked to Jira issues, allowing teams to:

• View deployment status directly in Jira
• Understand when a feature or fix was released
• Connect development pipelines with business context

This improves transparency across the entire software development lifecycle.

Improve Collaboration Across Distributed Teams

Many organizations operate across multiple teams, departments, or even companies—each using different tools.

Integration helps:

• Connect teams working in different environments
• Share updates in real time across systems
• Reduce communication gaps between stakeholders

This is particularly valuable for cross-functional teams and external collaborations.

Maintain Consistent Data Across Systems

Without integration, teams often rely on manual updates, which leads to:

• Outdated information
• Inconsistent statuses
• Reporting issues

By enabling automatic synchronization, organizations can:

• Ensure data consistency across Jira and Azure DevOps
• Maintain a single source of truth
• Improve reporting and decision-making

Support Complex Multi-Tool Environments

Larger organizations often use:

• Multiple Jira instances
• Many Azure DevOps organizations
• Additional tools in their ecosystem

Integration allows them to:

• Connect multiple systems without disrupting workflows
• Define sync rules per team or project
• Scale collaboration across the entire organization

Final Thoughts

Jira Azure DevOps synchronization is essential for teams working across multiple tools.

While native ways to connect Azure DevOps with Jira offer basic visibility, real value comes from solutions that enable automation, synchronization, and flexibility.

Choosing the right approach depends on your needs:

• Simple use case → native integration
• Standard workflows → basic Marketplace apps
• Advanced collaboration → scalable Marketplace solutions and On-Premise IPaaS solutions like Getint

For teams that need reliability and control, using an advanced integration app ensures that Jira and other tools can operate as one connected system.