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Platform Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Capitalontap
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, IT Infrastructure, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below

We’re Capital on Tap 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 £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.

1,000+ employees, £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!

London, Old Street | 2 Days in Office

Core Infrastructure at Capital on Tap

Core Infrastructure’s mission is to build a secure, patched, cost-efficient cloud foundation, provisioned entirely as code. We own the cloud, network, identity and infrastructure delivery that every product team at Capital on Tap runs on. It’s a big year for the team: we’re consolidating how we manage access and secrets, modernising our edge, moving to Git Hub and exploring a multi-cloud future.

We’re also building the infrastructure behind AI at Capital on Tap, connecting our engineers and products to models from Anthropic and OpenAI securely and at scale.

What You’ll Be Doing
  • Build and maintain our Azure foundations using Terraform, including reusable infrastructure modules and a standard Kubernetes baseline.
  • Help run our network and edge, including Cloudflare, Istio and Cato.
  • Manage cloud identity and access, including RBAC, managed identities and service-to-service authentication.
  • Help consolidate secret and certificate management into a single, automated pattern.
  • Automate infrastructure and core container patching so it runs on a reliable, fixed cadence.
  • Build and maintain infrastructure CI/CD pipelines, templates and build agents.
  • Help build and run our AI infrastructure, including model access through Microsoft Foundry, Anthropic and OpenAI.
  • Support our AI and MCP gateway layer, managing access, routing and authentication for AI tools and agents.
  • Apply the same security, identity and observability standards to AI services as the rest of our cloud platform.
  • Look after infrastructure monitoring with Grafana, Prometheus and Log Analytics.
  • Contribute to cloud cost management, disaster recovery and multi-cloud.
  • Work with Database Engineering, SRE and Developer Enablement on shared infrastructure projects.
  • Write clear documentation and help keep our infrastructure standards up to date.
Our Values & Culture

Just Pilot:
We never settle for “good 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
  • Experience managing public cloud environments, ideally Azure.
  • Strong experience writing infrastructure as code with Terraform.
  • Power Shell proficiency.
  • Good networking knowledge.
Nice to haves
  • Experience with AI platforms or LLM APIs such as Anthropic, OpenAI or Microsoft Foundry.
  • Experience running a multi-cloud setup (Azure and GCP).
  • Experience with zero-trust networking or tools such as Cato.
Interview Process
  • Stage 1: 30 minute call with a Talent Partner
  • Stage 2: 75 minute technical tech & questions with the Core Infrastructure Team lead & Team…
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