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Graphcore Bristol, UK is seeking a Lead Atlassian Cloud Platform Engineer to own the Atlassian Cloud ecosystem across multiple sites. This role starts hands-on, providing daily support, onboarding and configuration, with the opportunity to grow the platform team and define the operating model.
You will protect architectural integrity, strengthen governance and create scalable, source-controlled workflows. Expect to automate Jira and Confluence, implement configuration-as-code for SaaS, enable
At Graphcore, we're building the future of AI compute.
We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence
Own the Atlassian Cloud platform that helps Graphcore teams collaborate securely at scale.
As Lead Atlassian Cloud Platform Engineer, you will own our Atlassian Cloud ecosystem in Bristol. This includes multiple sites and environments used across company boundaries.
You will protect architectural integrity, strengthen governance and create scalable ways for teams to work. Your decisions will shape how Jira and Confluence support delivery across Graphcore.
You will move configuration away from manual administration and into source control, APIs and pipelines. You will also lead automation for projects, workflows, permissions and access.
This role starts hands-on, with daily support, onboarding and configuration. Over time, you will grow the platform team and define the operating model behind it.
You will work with Project Managers, engineering teams and partners across diverse workflows. Work happens through clear standards, practical guidance and decisions grounded in platform ownership.
You will be trusted to set direction, prevent configuration drift and speak up when governance needs to improve. The role needs someone who can balance self-service with security and control.
As the platform grows, you will mentor others and build repeatable processes. Your impact will scale through automation, documentation and clear patterns that teams can use confidently.
While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.