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- Tasks: Automate and optimise processes for the Market Risk Platform using AI and Python.
- Company: Join a leading banking and finance firm in London.
- Benefits: Competitive pay, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and process re-engineering.
- Why this job: Make a real impact by eliminating operational toil and enhancing reliability.
- Qualifications: 8+ years SRE experience with strong Python skills and cloud technology exposure.
The predicted salary is between 80000 - 100000 £ per year.
Location: London, UK - 5 Days Onsite
Job Type: Contract & Fixed term Employment
Domain: Banking / Finance / Trading Market Risk
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
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 (toil 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 waste and reduce cycle time
- Standardize 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: scoped 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 (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, 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 Prem VMs + Cloud, with some Kubernetes exposure for operational monitoring/reruns)
Differentiators:
- Exposure to Banking/Finance Market Risk Domains
- Experience and knowledge of Athena ecosystem familiarity or similar (SecDB, Quartz)
Site Reliability Engineer in Woking employer: Purview Consultancy Services Ltd
Contact Detail:
Purview Consultancy Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer in Woking
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, or even online webinars related to Site Reliability Engineering. You never know who you might bump into – it could be your future boss or a colleague who can refer you to a job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, automation scripts, or any AI-driven solutions you've worked on. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company’s culture and values, and align your application with their needs. We recommend applying through our website for a smoother process.
✨Tip Number 4
Prepare for interviews by practising common SRE scenarios. Think about how you would handle incidents, optimise processes, or implement automation. The more prepared you are, the more confident you'll feel when it’s time to shine!
We think you need these skills to ace Site Reliability Engineer in Woking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Site Reliability Engineer role. Highlight your SRE experience, especially with Python-based applications, and any relevant cloud technologies you've worked with. We want to see how your skills match what we're looking for!
Showcase Your Experience: In your application, don't just list your past jobs—show us what you've achieved! Talk about specific projects where you eliminated operational toil or improved processes. We love seeing measurable impacts, so include those metrics if you can!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to explain your experience in a way that relates directly to the responsibilities of the role. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Purview Consultancy Services Ltd
✨Know Your Python Inside Out
Since the role focuses heavily on Python-based applications, make sure you brush up on your Python skills. Be ready to discuss specific projects where you've used Python for automation and optimisation, and think about how you can demonstrate your proficiency during coding challenges or technical questions.
✨Familiarise Yourself with Cloud Technologies
Given the emphasis on cloud technologies in the job description, it’s crucial to have a solid understanding of the cloud platforms you’ve worked with. Prepare to talk about your experience with cloud services, especially in relation to automation and reliability, and be ready to share examples of how you've leveraged these technologies in past roles.
✨Understand the Market Risk Landscape
Since this position is within the banking and finance sector, having a grasp of market risk concepts will set you apart. Research the trade lifecycle and be prepared to discuss how your SRE experience can contribute to optimising processes in this domain. Showing that you understand the business context will impress your interviewers.
✨Prepare for Process Re-engineering Questions
The role requires a focus on process re-engineering, so be ready to discuss your approach to mapping and redesigning operational processes. Think of specific examples where you've successfully reduced manual work or improved efficiency, and be prepared to explain your thought process and the impact of your changes.