Site Reliability Engineer (SRE)

• Focus predominantly on automation, optimization, and process re-engineering using AI for the Market Risk Platform
• Build production-grade automation in Python to remove repetitive work including environment checks and dependency validation
• Create self-service capabilities for common requests that are guard-railed, auditable, and repeatable
• Map and redesign current operation processes to eliminate waste and reduce cycle time
• Standardize runbooks/playbooks into executable workflows to reduce tribal knowledge
• Define and track operation KPIs including toil hours removed and alert volume reduction
• Design and implement agentic workflows that take action using tools and runbooks
• Establish strong controls to ensure safety and measurable outcomes
• Productionize with monitoring, logging, and post-incident learnings feeding back into the agent/tooling

Technologies:

• AI
• Cloud
• Java
• Kubernetes
• Linux
• Network
• Python
• Support
• LESS
• Rails, We are a London-based company specializing in the Banking, Finance, and Trading sectors, seeking an experienced Site Reliability Engineer (SRE) for a contract & fixed-term role. Our focus is on automation, optimization, and process re-engineering to enhance our Market Risk Platform. In this position, you will join a dynamic team dedicated to improving reliability and efficiency. We offer competitive benefits and opportunities for professional growth in a vital industry.

• Minimum 8 years of experience in a Site Reliability Engineer (SRE) role
• SRE experience with Python-based applications (not Java)
• Exposure to cloud technologies
• Familiarity with the Athena ecosystem or similar (SecDB, Quartz)
• Experience in Trade Lifecycle, Market Risk, or Risk platform
• Strong background in automation engineering
• Demonstrated process optimization abilities
• Proficient in Linux and troubleshooting across application/system/network layers
• Experience with mixed environments (On-Prem VMs, Cloud, with some Kubernetes exposure)