At a Glance
- Tasks: Automate and optimise processes for a Market Risk Platform using AI and Python.
- Company: Join a leading financial institution focused on innovation and reliability.
- Benefits: Competitive pay, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and continuous improvement.
- Why this job: Make a real impact by reducing operational toil and enhancing automation.
- Qualifications: 8+ years SRE experience, strong Python skills, and a passion for process optimisation.
The predicted salary is between 63000 - 77000 £ per year.
NOTE: VISA SPONSORSHIP IS NOT PROVIDED
Location: London, UK (5 Days / Week Onsite)
Type: Contract Inside IR35 / Permanent
Experience: Minimum 8+ Years
Skills:
- SRE experience with Python-based applications (not Java)
- Exposure to cloud technologies
- Familiarity with Athena ecosystem or similar (SecDB, Quartz)
- Banking and risk domain exposure
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 (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 in London employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Site Reliability Engineer in London
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We think you need these skills to ace Site Reliability Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at All The Top Bananas.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at All The Top Bananas and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at All The Top Bananas
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If All The Top Bananas uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
