R&D_2027_05 Senior Development Operations Specialist

At Regnology our greatest asset is our people. We value diversity and foster an inclusive environment that supports learning, safety, and growth. By investing in our team, listening to customers, and encouraging creativity, we drive continuous innovation and improvement. We offer a flexible, innovative environment where your ideas matter and your career can thrive. Regnology is a global leader in regulatory reporting, helping financial institutions, regulators, and tax authorities improve data quality, efficiency, and cost savings. Our mission: to safeguard financial markets through smarter, future-ready solutions. R&D Process & Tooling Specialist (Jira Cloud, Automation & AI)   Seniority level: Mid-Senior level  Employment type: Full-time  Job function: Engineering and Information Technology  Industries: Software Development  What you'll do   You will make Regnology's Research & Development (R&D) organisation more efficient by automating work that is still done by hand, keeping our Atlassian Cloud toolchain healthy, and turning AI into practical time saved for engineers and Product Management (PM).  This is not a pure Jira admin seat. A large share of the job is building and maintaining automation — scripts, integrations, workflow automation and AI-assisted flows — and judging when a simpler configuration change or a deleted process step beats another tool.  Our platform is Atlassian Cloud, above all Jira Cloud and Confluence Cloud. Experience with Jira Server or Data Center is useful background, but this role owns Cloud: native configuration, Cloud automation, APIs and marketplace or Forge extensions where they fit. Custom plugin habits from Data Center are not the default answer here.  You will also manage external delivery: scope and order work, plan what others must do, accept completed work, and test it before it lands in production for R&D.  Responsibilities   Automation & AI (core of the role)   Identify repetitive, manual or error-prone work in R&D and PM workflows and remove it, prioritising hours returned to teams over technical novelty.  Design, build and maintain automation across the toolchain — primarily in Python — including scripts, scheduled jobs, webhooks and integrations between SDLC tools.  Build AI-assisted workflows (for example summarisation, drafting, triage or retrieval over our own documentation and issue history) with a clear measure of whether the output is good enough to trust.  Apply judgement where AI is the wrong tool and a deterministic script, a configuration change or deleting a process step is the better answer.  Keep automation maintainable: version-controlled, reviewed, documented and observable.  Jira Cloud & Atlassian suite   Serve as a key contact for Jira Cloud and other Atlassian Cloud products (for example Confluence), including workflows, schemes, fields, permissions, dashboards and native automation.  Extend the platform beyond out-of-the-box behaviour only…