AI-Driven Jira Cloud Automation Engineer

Regnology Poland P.S.A; Województwo wielkopolskie; On-site; PLN 120,000 - 200,000; Full time

Job summary

Regnology is seeking an Automation & AI specialist to advance its R&D and PM tooling on the Atlassian Cloud platform. You will build and maintain automation, extend Jira and Confluence, and integrate external suppliers. Emphasis on Python scripting and AI-assisted flows to save time and reduce manual work.

With a focus on Cloud-native configurations, you will own automation, test changes, and ensure observable, well-documented processes across the SDLC in a fast-moving engineering environment.

Qualifications

• Experience with Jira Cloud administration and configuration (workflows, schemes, permissions, automations).
• Automation of end-to-end workflows with Python and integrations between tools.
• Practical AI experience applied to workflows with evidence of shipped output.
• Ability to manage external delivery, orders, briefs and testing with partners.

Responsibilities

• Automate repetitive R&D and PM workflows, prioritising time savings.
• Maintain Jira Cloud and Atlassian Suite configurations and automations.
• Develop AI-assisted workflows and deterministic scripts where appropriate.
• Coordinate external suppliers, plan work, accept and test delivered work.
• Improve SDLC processes and support Agile delivery methods.

Skills

Jira Cloud administration

Python scripting

Automation design

AI in workflows

SDLC & Agile

External delivery management

Atlassian Cloud APIs

CI/CD (Jenkins, GitHub Actions)

Confluence Cloud

Forge / Marketplace apps

Tools

Jira Cloud

Confluence Cloud

Forge

Jira Server/Data Center background

CI/CD tools

Job description

Regnology is seeking an Automation & AI specialist to advance its R&D and PM tooling on the Atlassian Cloud platform. You will build and maintain automation, extend Jira and Confluence, and integrate external suppliers. Emphasis on Python scripting and AI-assisted flows to save time and reduce manual work.

With a focus on Cloud-native configurations, you will own automation, test changes, and ensure observable, well-documented processes across the SDLC in a fast-moving engineering environment.