Process & Tooling Engineer

Regnology Tunisia Sarl; Poznań; On-site; PLN 120,000 - 190,000; Full time

Job summary

Regnology Tunisia Sarl is seeking an experienced automation-focused professional to optimize R&D and PM workflows within the Atlassian Cloud ecosystem. You will design and maintain Python-based automation, AI-assisted flows, and integrations across Jira Cloud and Confluence Cloud, while coordinating external delivery partners.

You will own cloud-native automation decisions, balance AI with deterministic solutions, and ensure maintainability with version control, documentation, and observability

Qualifications

• Hands-on Jira Cloud administration experience (workflows, schemes, permissions, automations, fields).
• Proven ability to automate real workflows end-to-end with scripts and tool integrations.
• Practical understanding of AI in workflows and judicious use cases.

Responsibilities

• Identify repetitive, manual, or error-prone work in R&D and PM workflows and remove it, prioritising hours saved.
• Design, build and maintain automation across the Atlassian toolchain, primarily in Python, with scripts, webhooks and integrations.
• Build AI-assisted workflows for summarisation, drafting, triage or retrieval from documentation and history.

Skills

Jira Cloud admin

Automation scripting

Python

AI in workflows

External delivery coordination

SDLC understanding

Clear communication

Job description

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 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 R&D 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 R&D 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 & M&A integration

• Work with R&D, 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 R&D and PM so processes, tools and operational needs stay aligned.
• Support onboarding, training and adoption of tooling and process improvements.
• Support integration of R&D 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.
• Hands-on experience with the adoption of tools or process changes, including enablement and follow-through, not a change-management certificate.
• Ability to explain technical and process topics clearly to mixed audiences, and to push back constructively when a requested exception would damage the platform.
• Familiarity with AI concepts and its potential application in a business environment

Strongly preferred

• Experience with Atlassian Cloud APIs, webhooks and event-driven integrations (Jira, Confluence, Bitbucket or equivalent).
• Experience with CI/CD platforms (Jenkins, GitHub Actions, Bitbucket Pipelines or equivalent) and quality gates.
• Familiarity with data/reporting patterns across multiple tools (metrics, dashboards, scheduled exports).
• Atlassian Cloud migration experience (for example Data Center to Cloud).
• Docs-as-Code or documentation pipeline experience.

Nice to have

• Forge or marketplace app evaluation/configuration on Cloud.
• Experience in a large engineering organisation (enterprise scale).
• Exposure to regulated environments, toolchain security practice, and audit/traceability expectations.
• Scaled Agile (for example SAFe) or Advanced Roadmaps.

How we will assess this

We will ask you to walk through something you automated (and, where relevant, something you ordered or accepted from an external supplier), including why you chose that approach, how you tested it, what you refused to customise, and how you knew it was working. We care more about that judgement than about the length of your tool list.

Why you should decide on us

• Let’s grow together, join our market leading SaaS company — our agile character and culture of innovation enables you to design our future.
• We provide you with the opportunity to take on responsibility and participate in international projects.
• In addition to our buddy-program, we offer numerous individual and wide-ranging training opportunities during which you can explore technical and functional areas.
• Our internal mobility initiative encourages colleagues to transfer cross functionally to gain experience and promotes knowledge sharing.
• We are proud of our positive working atmosphere characterized by a supportive team across different locations and countries and transparent communication across all levels.
• Together we’re better — meet your colleagues at our numerous team events.

Recognizing the benefits of working in diverse teams, we are committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, and sexual identity.

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