Level

Capital on Tap

Cloud Platform Engineer

AI in this role

Cloud Platform Engineer migrating code repositories and ensuring the continuous integration of AI coding assistants and agents.

copilotazuregithubjiraslackado
ai-agents

We’re Capital on Tap πŸ‘‹
πŸ’³ Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that.

Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit Β£1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.Β 

1,000+ employees, Β£20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started!Β 

πŸ“Poland| 🏒 Remote | 6 months Contract

Platform Engineering at Capital on Tap πŸš€

The Platform Engineering team powers fast, secure, and reliable software delivery across the business. We partner with Engineering, Data, Security, and QA teams to build platforms that reduce toil. From managing our Azure infrastructure and CI/CD pipelines to shaping core developer tooling, we focus on scalability, resiliency, and security at every step. We’re always exploring new tools, testing ideas, and applying industry best practices to keep our platform cutting-edge and our teams empowered.

What You’ll Be Doing πŸ—ƒοΈ

  • Migrate existing estate of code repositories from ADO to GitHub.
  • Migrate associated test and build pipelines.
  • Rework current Jira integration to add support to link Github PRs to Jira work items
  • Ensure existing AI integrations and AI agents (such as coding and pull request assistants) are migrated and continue to function appropriately.
  • Rework and migrate any other existing ancillary services that are used to facilitate the storage, governance, security, and build procedures, including integrations with Slack, and management of secrets.
  • Partner and communicate with stakeholders about relevant technical learnings

Our Values & Culture 🌞

  • Just Pilot: We never settle for β€œgood enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly.
  • Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.
  • Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard.
  • Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done.
  • Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback.

We’re Looking For πŸ”Ž

  • 3+ years in DevOps or Platform Engineering roles, with hands-on experience of both Azure DevOps and GitHub Enterprise.
  • Proven track record of delivering at least one large-scale source control or CI/CD migration from Azure DevOps (or a similar platform) to GitHub, ideally using GitHub Enterprise Importer or similar tooling.
  • Strong experience converting Azure Pipelines (YAML and classic) into GitHub Actions, including reusable workflows, composite actions, self-hosted runners and environment protection rules.
  • Experience of secure secrets migration, using GitHub Actions secrets and environments, OIDC federation with cloud providers, and external secret stores such as Azure Key Vault.
  • Proficient in at least one scripting language (Python, PowerShell, Bash or Go) to automate bulk migration tasks through the Azure DevOps and GitHub REST/GraphQL APIs.
  • Experience reconfiguring third-party integrations such as Slack, Jira and code quality or security scanning tools, including GitHub Apps, webhooks and branch protection or ruleset policies.
  • Familiarity with AI agent and automation integrations in the software delivery lifecycle (for example GitHub Copilot, MCP servers or custom agents triggered from pipelines), and the ability to rebuild these against GitHub.
  • Working knowledge of Infrastructure as Code (Terraform) and cloud platforms (Azure, AWS or GCP), as pipelines will deploy into these environments.
  • Methodical approach to planning and cutover, including phased migration, rollback plans and minimising disruption to engineering teams.
  • Clear communicator who can document new ways of working and support engineers through the transition, working independently within a fixed timeframe.

Interview Process 🀝

  • First stage: 30-minute intro, CV review, and values with Talent Partner
  • Final stage: 45-minute Technical Task + 30 minute Interview with Engineering Manager

Diversity & Inclusion 🌈
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Other Info
πŸ‘Check out ourΒ β€˜Top Tips’ for interviewing.
βœ”οΈKeep updated on new job opportunities by following us on Linkedin.
πŸ“§Email careers@capitalontap.com if you have any questions.

Excited to work here? Apply!
If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)

How we rate this

Cloud Platform Engineer at Capital on Tap rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsCopilotAzureGithubJiraSlackAdo

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used Copilot in your day-to-day work.
  3. What are the limits of Azure that you've run into, and how did you work around them?
  4. What's a project where you used Github hands-on?
  5. Walk me through how you've used Jira in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Agents, Copilot, Azure, Github, and Jira. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them β€” a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list β€” this role treats it as a required part of the job.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review

Get new remote AI jobs (Uses AI ●●○○ or higher) by email

One email a week with the new remote AI jobs (Uses AI ●●○○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Software Engineering roles that use AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Capital on Tap

Related searches

Same AI level