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Salesforce DevOps Engineer

Dojo · London, United Kingdom

Confidence
Medium confidence
Posted
29 Jul 2026
First seen
25 Oct 2026
Last checked

Evidence

Medium confidence

Dojo is on the UK Home Office register. The posting doesn’t mention visas.

Sponsor register

UK Home Office Register of Licensed Sponsors

Listed as Paymentsense Limited. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.

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Job posting

Doesn’t mention visas or relocation.

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Still open

Seen on the job board

First seen 25 Oct 2026. We check every day and remove closed roles.

Where you apply

dojo.careers

Dojo’s job board.

Being on the register means Dojo can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

We’re reinventing payments. In less than four years, Dojo disrupted the market to become the largest and most loved acquirer in the UK. Our payments infrastructure, purpose-built for in-person commerce, is game changing. Now, over 150,000 customers across four countries choose to transact billions with us every year.

But we’re just getting started. Our people are the driving force behind our success. They are our greatest investment and our ultimate competitive advantage. We hire exceptional people and give them the autonomy, trust, and ownership to thrive. The results take care of themselves. The role As a Salesforce DevOps Engineer, you'll be at the heart of our engineering practice.

Specialising in the Copado platform, you will streamline our Salesforce development and release processes, taking ownership of our CI/CD pipelines to ensure our teams can deliver at pace while maintaining stable and scalable environments. This is a chance to make a tangible impact and help us get to the good stuff, faster. What you will do... • Design, implement, and maintain robust CI/CD pipelines for Salesforce using the Copado DevOps platform, integrating best practices for version control. • Automate deployments of Salesforce metadata and code, and manage our Salesforce environments, ensuring data masking and seeding strategies are used effectively.

Read the full posting

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