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Barclays

Wealth management services for UK clients

AI Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Experience with Kubernetes platform engineering, including building, deploying, and operating secure, scalable Kubernetes platforms.
  • Practical experience designing, automating, and supporting cloud infrastructure and services across Amazon Web Services and/or Microsoft Azure.
  • Experience deploying and operating artificial intelligence agents or large language model-based services, ideally using Amazon Bedrock, including monitoring, governance, quality assurance, and agentic workflows across the software delivery lifecycle.

Responsibilities

  • Design, develop, and improve software that provides business, platform, and technology capabilities.
  • Develop and optimise software platforms using modern engineering practices to deliver resilient, scalable, and high-performing capabilities.
  • Build, deploy, and operate secure, scalable Kubernetes platforms.
  • Design, automate, and support cloud infrastructure and services.
  • Deploy and operate artificial intelligence agents or large language model-based services across the software delivery lifecycle.
  • Define software requirements, devise solution strategies, and ensure seamless integration with business objectives.
  • Participate in code reviews and promote code quality and knowledge sharing.
  • Apply secure coding practices to mitigate vulnerabilities and protect sensitive data.
  • Implement unit testing practices to ensure code design, readability, and reliability.

Desired Qualifications

  • Experience building or operating platforms using OpenShift or a similar enterprise Kubernetes distribution.
  • Knowledge of artificial intelligence agent security, observability, and evaluation, including guardrails, evaluation frameworks, identity, access control, monitoring, and operational assurance.
  • Experience with continuous integration and continuous delivery, GitOps, infrastructure as code, and automation.
  • Experience building automated delivery pipelines, reusable platform capabilities, self-service deployment workflows, reusable templates, golden paths, and developer enablement tooling.
  • Experience monitoring and optimising artificial intelligence workload consumption, platform usage, and cloud costs.

About the Company

Barclays

Wealth management services for UK clients

Barclays Wealth Management helps UK clients manage and grow their wealth through a regional network of financial experts. It delivers personalized advice and services—such as investment management, financial planning, and estate and trust planning—tailored to each client’s goals, risk tolerance, and time horizon, with support from Barclays’ broader resources. What sets it apart is the combination of local, face-to-face guidance with the scale and range of a large UK bank, offering access to a wide array of financial products and research. The goal is to help clients preserve and grow their wealth over the long term by providing comprehensive, advisor-led guidance aligned with individual financial objectives.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1690

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