At a Glance
- Tasks: Automate and optimise processes using Python for our 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: Dynamic team environment with a focus on cutting-edge AI technologies.
- Why this job: Make a real impact by enhancing automation and reducing operational toil.
- 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. 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: 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 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).
Site Reliability Engineer (Python) in City of London employer: Mphasis
As a Site Reliability Engineer at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee well-being, all set in a vibrant location that fosters creativity and growth. Join us to make a meaningful impact by automating processes and optimising operations within the exciting realm of Market Risk.
StudySmarter Expert Advice🤫
We think this is how you could land Site Reliability Engineer (Python) in City of London
✨Tip Number 1
Network, network, network! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone already working as an SRE. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to automation and process optimisation. This will not only demonstrate your technical abilities but also your passion for the role. Don’t forget to share it on platforms like GitHub!
✨Tip Number 3
Prepare for interviews by brushing up on common SRE scenarios. Think about how you would tackle operational toil or implement agentic AI workflows. Practise explaining your thought process clearly and concisely, as communication is key in these roles.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals who can help us innovate and improve our processes. Make sure your application stands out by tailoring it to highlight your experience with automation and process re-engineering.
We think you need these skills to ace Site Reliability Engineer (Python) in City of London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Python and automation. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Showcase Your Achievements:When detailing your past roles, focus on measurable impacts you've made, like reducing toil hours or improving MTTR. We love numbers, so if you can quantify your success, do it!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Mphasis
✨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 optimisation.
✨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 re-engineering concepts. Be ready to talk about how you've redesigned workflows to reduce handoffs and cycle times. Think of specific instances where you've standardised processes or created templates that improved team efficiency.
✨Demonstrate Your AI Knowledge
Since agentic AI is a key focus, be prepared to discuss your experience with AI in automation. Talk about any projects where you've implemented AI-driven workflows, and explain how you ensured safety and control in those processes. Highlight measurable outcomes from your AI initiatives.
