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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 contract salary, hands-on experience, and a chance to innovate.
- Other info: Dynamic role with opportunities for professional growth in a fast-paced environment.
- 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 tech 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 (Sec DB Quartz)
Site Reliability Engineer 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
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, or even local tech events. Chatting with folks in the banking and finance sectors can open doors you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python automation projects or any SRE-related work. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Don’t be shy about reaching out directly to hiring managers or recruiters on LinkedIn. A friendly message expressing your interest can set you apart from the crowd.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Site Reliability Engineer
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 Achievements: When writing your application, don’t just list your responsibilities. Instead, showcase your achievements! Talk about how you’ve eliminated operational toil or improved processes in previous roles. We love seeing measurable impacts!
Be Clear and Concise: Keep your application clear and concise. Use bullet points where possible to make it easy for us to read through your experience. Remember, we’re looking for specific skills and experiences, so make them stand out!
Apply Through Our Website: Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 coding abilities during the interview.
✨Familiarise Yourself with Market Risk Concepts
Understanding the banking and finance domain is crucial for this role. Take some time to research market risk concepts and the trade lifecycle. Being able to speak knowledgeably about these topics will show that you're not just technically skilled but also understand the business context.
✨Prepare for Automation Scenarios
The job requires a strong focus on automation and process re-engineering. Prepare examples of how you've eliminated operational toil in previous roles. Think about specific tools or workflows you've built and be ready to explain the impact they had on efficiency and reliability.
✨Showcase Your AI Experience
Since agentic AI delivery is a key part of the role, be prepared to discuss any experience you have with AI in your past work. Highlight projects where you've implemented AI solutions, focusing on measurable outcomes like toil reduction or improved recovery times.