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)
- Experience: Minimum 8+ years
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 standardised 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.
- Standardise runbooks/playbooks into executable workflows, reduce tribal knowledge via templates, checklists, and automated pre‑flight controls
- Define 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.
- Productionise with monitoring, logging and post‑incident learnings feeding back into the agent/tooling
- Observability (enablement 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
- Demonstrated process optimisation ability (removing steps/handoffs, standardising 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)
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