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Site reliability engineer (python)

London
Mphasis
Site reliability engineer
Posted: 27 April
Offer description

We need an experienced SRE to focus predominantly on automation, optimization, and process re-engineering using AI for the Market Risk Platform. 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: 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)

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