RD Process Tooling Specialist (Jira Cloud, Automation AI)

- Seniorilty level: Mid-Senior level
- Employment type: Full time
- Job function: Engineering and Information Technology
- Industries: Software Development

What youll do

You will make Regnologys Research Development (RD) 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 RD.

Responsibilities

Automation AI (core of the role)

- Identify repetitive, manual or error-prone work in RD 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 where warranted (marketplace apps, Forge or services alongside Cloud) - not by defaulting to heavy customisation.
- Provide user support and guidance, and build documentation and enablement that reduce how often that support is needed.

External delivery management (order, plan, accept, test)

- Brief and order work from external suppliers (Atlassian partners, integration or automation partners, and similar) so that scope, acceptance criteria and timelines are clear.
- Plan and break down work for others - external and internal contributors - including sequencing, dependencies and who owns what.
- Accept delivered work against agreed criteria; test configuration, automation and integrations before they are released to RD or PM.
- Chase quality and completeness; push back when delivery is incomplete, undocumented or will create long-term maintenance cost on the Cloud platform.

Process tooling improvement

- Analyse and document RD and PM processes to find what can be simplified,



standardised or automated - including concluding that a process should be removed rather than tooled.
- Support Agile ways of working (for example Scrum, Kanban) tailored to business needs.
- Contribute to continuous improvement of the software development lifecycle (SDLC), from requirements through delivery.

Collaboration MA integration

- Work with RD, Product Management and other stakeholders to understand needs and translate them into tooling and process that get adopted - starting from the problem, not from a pre-chosen solution.
- Act as a bridge between RD and PM so processes, tools and operational needs stay aligned.
- Support onboarding, training and adoption of tooling and process improvements.
- Support integration of RD processes, systems and toolchains during mergers and acquisitions where required.

Why we should decide on you

Essential

- Hands-on experience with Jira Cloud administration and configuration (workflows, schemes, permissions, automations, fields). Server/Data Center-only backgrounds without Cloud ownership are not enough for this role.
- Demonstrable experience automating real workflows end to end (scripting preferably in Python, plus integrations between tools) - not only clicking configuration screens.
- Practical understanding of AI applied to real workflows (something built or shipped, not only interest), and judgement about when not to use it.
- Experience coordinating external delivery: ordering or briefing suppliers, planning work for others, accepting and testing what comes back.
- Good understanding of SDLC and Agile delivery from having worked inside them.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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