Role: Site Reliability Engineers (SRE)

Location: London, UK

Job Type: Contract & FTE

Domain: Banking / Finance / Trading – Market Risk

Note: No Sponsorship

Skills:

• SRE experience with Python-based applications (not Java)
• Exposure to cloud technologies
• Familiarity with Athena ecosystem or similar (SecDB, Quartz)
• Trade Lifecycle / Market Risk / Risk platform experience
• Experience: Minimum 8+ years

SRE Role description

We need an experienced SRE to focus predominantly on automation, optimization, and process re-engineering using AI for the Market Risk Platform. Success is measured by capacity created 9toil eliminated, fewer manual steps, faster recovery, safer/faster changes) not by being the primary BAU support resources. Strong Python and provable agentic AI delivery

Primary Objectives:

• Eliminate Operational toil and recurring manual work through durable automation
• Re-engineer support/change processes to reduce handoffs, approvals friction and rerun complexity
• Industrialize reliability operations so existing SREs spend less time firefighting and more time engineering

Key Responsibilities (Automation & Process first)

Automation Engineering (Core)

• Build production grade automation in Python (tools, services, workflows) to remove repetitive work: environment checks, dependency validation, automated reruns/reprocessing, safe restarts, drift detection, remediation actions, and standardized operation tasks
• Create self-service capabilities for common requests (guard railed, auditable, repeatable)
• Implement “automation with Safety”: idempotency, dry-run modes, approval gates where needed, rollback/undo strategies, and clear audit trails

Process Re-engineering (Core)

• Map current operation processes (incident/problem/change, release readiness, rerun/recovery, access/entitlements, environment onboarding) and redesign them to remove waster and reduce cycle time.
• Standardize runbooks/playbooks into executable workflows, reduce tribal knowledge via templates, checklists, and automated pre-flight controls
• Defined and track operation KPIs (toil hours removed, alert volume reduction, MTTR improvements, change failure rate reduction, rerun time reduction).

Agentic AI

• Design and implement agentic workflows that take action using tools/runbooks (e.g., diagnostics, evidence gathering, correlation, guided remediation, change-risk checks, automated rerun orchestration)
• Put strong controls in place: soped permissions, deterministic fallbacks, human-in-the-loop approvals for risky actions, evaluation harnesses and measurable outcomes.
• Productionize with monitoring, logging and post incident learnings feeding back into the agent/tooling
• Observability (enablemen for automation)

Required skills & Experience

• Senior SRE experience on distributed systems and batch/intraday workloads in a production environment.
• Strong Python
• Provable agentic AI experience showing
• Tool integration, guard rails, evaluation approach
• Measurable impact (toil reduction, MTTR reduction, alert reduction etc)
• Demonstrated process optimization ability (removing steps/handoffs, standardizing workflows, implementing light weight controls with metrics)
• Strong Linux and troubleshooting fundamentals across application/system/network layers
• Experience working across mixed estates (On Pre VMs + Cloud, with some Kubernetes exposure for operational monitoring/reruns)

Differentiators

• Exposure to Banking/Finance Market Risk Domains
• Experience and knowledge of Athena eco system familiarity or similar (Sec DB Quartz)