Sr. Atlassian Administrator

The Role

• You will own our Atlassian Cloud platform. You will set the standards, make the design decisions and lead the high-risk changes. You will build Jira automation, ScriptRunner logic, Forge apps and Rovo agents. You will connect Atlassian to other enterprise systems. You will also coach other team members and review their work. This role is for an experienced engineer who wants to lead an AI-first, automation-first Atlassian platform.

Key Duties

Platform Ownership and Leadership

• Own the design and health of our Jira, JSM, Confluence and Assets tenant.
• Set and enforce standards for schemes, custom fields, workflows, apps and automation.
• Lead high-risk changes: project rebuilds, migrations and production cutovers.Review changes made by other team members before they go to production.
• Coach and mentor less experienced engineers on the team.

Jira Cloud and Jira Service Management

• Build complex Jira projects from requirements: issue types, workflows, screens, field configurations, permission and security schemes, and boards.
• Build and test in a sandbox first. Promote to production with a cutover plan and a message to users.
• Configure JSM service desks: portals, request types, forms, queues, approvals and SLAs.
• Configure notification schemes, dashboards, filters and filter subscriptions.
• Plan and run large bulk changes and data cleanup, for example field configuration splits, fix version standards and link backfills.

Automation, Scripting, AI and Forge

• Design complex and self-healing Jira automation rules. Find and fix automation failures.
• Build ScriptRunner Behaviours, listeners and scripts.
• Write Python or JavaScript tools against the Jira, Confluence and Assets REST APIs.
• Use GitHub Copilot and AI agents to speed up scripting, configuration and documentation. Set guardrails for how the team uses them.
• Build and govern custom Rovo agents. Connect Rovo to sources such as Salesforce and Assets.
• Own Forge app delivery: source control, CI/CD, service account, monitoring, scope reviews and change management.

Confluence, Assets, Apps and Integrations

• Administer Confluence Cloud spaces, permissions, apps and content migration.
• Design Assets (CMDB) schemas and the automation that links assets to Jira issues.
• Evaluate, approve and administer Atlassian Marketplace apps.
• Evaluate other third-party apps and services when teams need new capabilities. Compare options, check security, data handling and cost, run a pilot, and recommend whether to reuse, buy or build.
• Manage the app lifecycle: review usage, support renewals, and check impact before an app is removed.
• Own integrations with Salesforce, Smartsheet, Jama Connect, 3DEXPERIENCE (3DX) and GitLab.

Access, Security and Compliance

• Design access models for new projects and spaces with SailPoint access profiles and Okta groups.
• Own data residency and separate sites for our China and Saudi Arabia (KSA) operations, including data classification labels.
• Keep an audit trail of every production change.
• Manage Jira, JSM and Confluence licenses. Run regular cleanups of inactive users, using more than one activity signal and an exempt list for service accounts.
• Work with Information Security and Identity (IAM) teams on security reviews, SSO and user provisioning.

Service Desk Support

• Handle complex and escalated tickets in the ATLAS queue.
• Work directly with business leaders to turn needs into clear designs.
• Write runbooks, standards and Confluence documentation.

Required Experience

• 10+ years of hands-on Atlassian administration in a large, multi-team organization.
• 3+ years of hands-on Jira Cloud administration.
• A track record of complex project builds, migrations or tenant consolidations.
• Expert knowledge of Jira workflows, schemes, permissions and automation.
• Hands-on administration of Jira Service Management and Confluence Cloud.
• Hands-on experience with Rovo or Atlassian Intelligence.
• Strong scripting in Python or JavaScript, and strong REST API skills.
• Deep experience with Marketplace apps such as ScriptRunner.
• Experience setting standards and reviewing other people's work.
• Advanced JQL, dashboards, filters and reporting.
• Design of permission schemes, project roles and issue security for sensitive data.
• Large bulk changes and data cleanup with CSV import and the REST API, with a rollback plan.
• Atlassian organization administration: user management, Atlassian Guard, and SSO and user provisioning (SCIM) with an identity provider such as Okta.
• Change management: plan changes, announce them, and train users.

Strong Plus: AI-Assisted Engineering

• Our team builds with GitHub Copilot and AI agents every day. Experience with these tools is a strong plus:
• Daily use of AI coding assistants such as GitHub Copilot, Cursor or Claude to write scripts, automation rules, queries and documentation.
• Careful review of AI output: you read, test and verify it before it goes to production.
• Experience building or using AI agents and workflows, for example Rovo agents or Copilot agent mode.
• Good judgment about data: you use only company-approved AI tools, and you do not put credentials or sensitive data into prompts.
• Experience setting guardrails for how a team uses AI tools.

Preferred Experience

• Forge app development with source control and CI/CD.
• Integration platforms such as Workato.
• Atlassian Analytics.
• Test management apps such as Zephyr Scale.
• App lifecycle work: usage reviews, renewals and safe app removal.
• Advanced Roadmaps (Plans) or Structure for portfolio and capacity planning.
• Agile delivery: planning and tracking your own work in sprints.
• Assets (CMDB) schema design.
• Integrations with Salesforce, Smartsheet, Jama Connect, 3DX or GitLab.
• SailPoint and Okta access models.
• Data residency or multi-site tenants in regulated regions.
• Automotive, manufacturing or hardware engineering experience.
• Atlassian certifications, for example ACP-120 Jira Administrator or ACP-620 Managing Jira Projects for Cloud.

Key Skills

• Platform design: builds clean, reusable configuration that scales across many teams.
• Risk judgment: knows when a change is safe and when it needs a sandbox, a review or a plan.
• Root-cause analysis: finds why workflows and automation fail, not only the symptom.
• Automation and AI mindset: removes repeat work with automation and agents.
• Leadership: sets standards, coaches others and pushes back when a request is unsafe.
• Communication: explains technical changes in plain language to non-technical users.