Application Developer - Atlassian

Uber; San Francisco (CA); On-site; USD 153,000 - 170,000; Full time

Benefits offered by this job

401(k) plan

Bonus program

Equity awards

Comprehensive benefits

Job summary

A leading tech company is seeking an Application Developer to design and optimize systems using Atlassian tools such as Jira and Confluence. The ideal candidate will possess over 5 years of hands-on experience with these platforms and demonstrate exceptional problem-solving skills in high-pressure environments. This role involves building AI-powered applications and collaborating across teams to enhance productivity. A competitive salary range of $153,000 to $170,000 per year is offered depending on location, alongside participation in bonus programs and various employee benefits.

Qualifications

• 5+ years of hands-on experience administering and developing solutions on Atlassian platforms.
• Expertise in navigating complex Jira configurations.
• Demonstrated use of AI-powered tools in engineering workflows.

Responsibilities

• Design and optimize Jira and Confluence environments for performance and scale.
• Solve complex problems across the Atlassian toolchain.
• Build AI-powered applications to automate workflows.

Skills

Atlassian platforms

Jira workflows

ScriptRunner

REST APIs

GraphQL APIs

AI-powered development tools

Tools

Atlassian Jira

Atlassian Confluence

EazyBI

Rovo Agents

Job description

About the Role

At Uber, we don’t just use tools; we build the engines that power global movement. As an Application Developer for Work Management, you are at the heart of our productivity. You’ll design and build the Atlassian-based systems that keep thousands of Uber employees aligned and moving fast.

This isn't just about managing Jira tickets—it's about engineering intelligent, integrated ecosystems. The pace here is intense, and the systems are massive. You will face high stakes and complex technical debt, and you’ll often need to build solutions for problems that don’t have a playbook. We need someone with the grit to dive into the messiness of enterprise-scale configurations and the curiosity to leverage GenAI and Rovo Agents to redefine what’s possible. If you are a systems thinker who stays calm under pressure and cares about building tools that actually work at scale, this is where you’ll grow.

What You’ll Do

• Build and Scale: Design and optimize Jira and Confluence environments that support how our teams move in the real world—where performance and scale are non-negotiable.
• Navigate Complexity: Solve messy, high-impact problems across the Atlassian toolchain (Structure, JEMH, EazyBI, ScriptRunner), often without a clear starting point.
• Automate the Future: Build and maintain AI-powered applications and Atlassian Rovo Agents to automate workflows and turn manual friction into seamless productivity.
• Integrate Deeply: Develop robust integrations using Atlassian REST and GraphQL APIs, ensuring data flows smoothly across our global tech stack.
• Own the Outcome: Own your work end-to-end, from the first requirement gathering session with stakeholders to debugging production issues when the stakes are high.
• Unblock Teams: Work through technical debt and shifting priorities to champion engineering best practices, even when time is tight.
• Collaborate and Influence: Partner across disciplines—Product, Engineering, and Operations—to navigate tension, influence without authority, and ship practical solutions at speed.

Basic Qualifications

• 5+ years of hands-on experience administering and developing solutions on Atlassian platforms (Jira and Confluence Cloud/Data Center).
• Proficiency in Jira workflows, custom fields, schemes, permissions, and advanced configurations.
• Experience with ScriptRunner for automation and workflow enhancement.
• Experience working with Atlassian REST and GraphQL APIs for third-party integrations.
• Experience with Atlassian marketplace apps (Structure, JEMH, EazyBI).
• Demonstrated use of AI-powered developer tools in a daily engineering workflow (e.g., AI-assisted coding or debugging).

Preferred Qualifications

• Experience developing AI-enabled solutions using Atlassian Rovo Agents and LLM integrations.
• Expertise in prompt engineering and agent actions within enterprise workflows.
• Proven ability to design enterprise-scale dashboards and analytics using EazyBI.
• Experience supporting large, complex organizations with rigorous governance requirements.
• Strong systems thinking and the ability to thrive in high-ambiguity environments.

For San Francisco, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.