At a Glance
- Tasks: Automate and optimise processes using Python and AI for the Market Risk Platform.
- Company: Join a leading financial tech firm focused on innovation and reliability.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous learning and career advancement.
- Why this job: Make a real impact by reducing operational toil and enhancing automation in a dynamic environment.
- Qualifications: Senior SRE experience, strong Python skills, and a passion for process optimisation.
The predicted salary is between 60000 - 80000 € per year.
We need an experienced SRE to focus predominantly on automation, optimization, and process re-engineering using AI for the Market Risk Platform.
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: 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 eco system familiarity or similar (Sec DB Quartz).
Site Reliability Engineer (Python) in London employer: LinkedIn
Join a forward-thinking company that prioritises innovation and employee development, offering a dynamic work culture where automation and AI drive efficiency in the Market Risk Platform. As a Site Reliability Engineer, you'll benefit from a collaborative environment that encourages continuous learning and growth, alongside competitive remuneration and comprehensive benefits tailored to support your professional journey. Located in a vibrant area, our workplace fosters creativity and teamwork, making it an ideal setting for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Site Reliability Engineer (Python) in London
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, or tech conferences where you can connect with other SREs and potential employers. Don't be shy—introduce yourself and share your passion for automation and AI!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to automation and process optimisation. This gives employers a tangible look at what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on common SRE scenarios. Think about how you've tackled operational toil in the past and be ready to discuss your experience with agentic AI delivery. We want to hear your success stories!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to the Market Risk Platform.
We think you need these skills to ace Site Reliability Engineer (Python) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Site Reliability Engineer role. Highlight your Python skills and any experience with automation and process re-engineering. We want to see how your background aligns with our needs!
Showcase Your Projects:Include specific projects where you've implemented automation or optimised processes. We love seeing measurable impacts, so if you can quantify your achievements, even better! It helps us understand your hands-on experience.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this role and how you can contribute to our team. Be genuine and let your personality shine through. We appreciate authenticity!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at LinkedIn
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific projects where you've built automation tools or services. Highlight any experience with libraries or frameworks that are relevant to automation and process re-engineering.
✨Showcase Your Automation Experience
Prepare examples of how you've eliminated operational toil through automation. Discuss the impact of your work, such as reduced manual tasks or improved efficiency. Use metrics to back up your claims, like time saved or error reduction.
✨Understand Process Re-engineering
Familiarise yourself with process mapping and redesign techniques. Be ready to talk about how you've standardised workflows or created self-service capabilities in previous roles. Think of specific instances where you’ve streamlined processes and reduced cycle times.
✨Demonstrate Your Agentic AI Knowledge
If you've worked with agentic AI, be prepared to explain your approach to designing workflows that take action. Discuss any tools you've integrated and how you've implemented safety measures like human-in-the-loop approvals. Show that you understand the importance of monitoring and logging in production environments.
