Platform Engineer at CipherTek Recruitment, City Of London, £750 per day

£750 per day

Contract Description

Platform/DevOps Engineer – Kubernetes Ai | Investment Banking

£750 per day | Outside IR35 | 12-month contract | 1 day per week in the office


Our investment banking client is undertaking a major technology build-out across Capital Markets, alongside an agentic AI rollout, and is looking for a strong Platfrom/DevOps Engineer to join its Core Platforms team within Global Markets.

You’ll help build and run the Kubernetes environments underpinning a large-scale distributed technology estate, working closely with engineering teams to deliver reliable, scalable production infrastructure.


The team is looking for an engineer who already uses AI-assisted engineering extensively in a commercial setting. You’ll need practical experience using AI tools to accelerate development, automate infrastructure tasks and solve engineering problems, with the technical judgement to validate outputs and deliver production-quality solutions.


The role

  • Set up, configure and maintain Kubernetes environments.
  • Manage production platforms, supporting reliability, scalability and availability.
  • Troubleshoot complex infrastructure and containerised application issues.
  • Support engineering teams as new services and platform capabilities are introduced.


Must-have experience

  • Previous experience working within investment banking.
  • Experience supporting large-scale distributed systems in complex production environments.
  • Strong hands-on Kubernetes expertise, including setting up and managing production clusters.
  • A strong DevOps or platform engineering background.
  • Proven troubleshooting skills and the ability to take ownership of critical infrastructure.


Additional must-have requirements

  • Strong commercial experience using AI coding tools as part of your day-to-day engineering workflow.
  • Proven ability to use AI to build, test, debug and deliver code, scripts or infrastructure automation.
  • Ability to critically review AI-generated outputs for correctness, security and maintainability.
  • Hands-on delivery experience beyond personal projects or occasional experimentation.


This is a hands-on engineering role within a significant Global Markets technology programme.


Interested? Send me your CV or get in touch for more details.