S R E - B a n k i n g a n d R i s k
Our client is looking for an experienced Site Reliability Engineer to drive automation, process optimisation and the adoption of Agentic AI across a business-critical Market Risk platform.
This is a hands-on engineering role focused on reducing operational toil, improving reliability and building scalable automation using Python. You'll work across hybrid infrastructure, redesign operational processes and develop AI-driven solutions that improve efficiency and reduce manual intervention.
What you'll be doing:
Build automation using Python to eliminate manual processes.
Design and implement Agentic AI solutions to improve operational efficiency.
Optimise support and change processes through automation and process improvement.
Develop self-service tools and automated recovery workflows.
Improve platform reliability across hybrid infrastructure.
What we're looking for:
Strong experience as a Site Reliability Engineer.
Excellent Python development skills.
Experience delivering automation and AI-driven operational solutions.
Linux troubleshooting and systems administration experience.
Exposure to Cloud, Virtual Machines and Kubernetes.
Financial Services or Market Risk experience is advantageous but not essential.
Why apply?
This is a chance to join a forward-thinking engineering team where you'll have the opportunity to shape how automation and AI are used in production environments. If you enjoy solving complex problems, building intelligent solutions and making a measurable impact, we'd love to hear from you.
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