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: Dynamic team environment with a focus on cutting-edge technology and career advancement.
- Why this job: Make a real impact by eliminating operational toil and enhancing automation.
- 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 London employer: Mphasis
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, while enjoying competitive compensation and comprehensive benefits tailored to support your professional journey in a thriving financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Site Reliability Engineer (Python) in London
✨Tip Number 1
Network like a pro! Reach out to current SREs in your field on LinkedIn or at meetups. Ask them about their experiences and any tips they might have for landing a role like the one you're after.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to automation and process optimisation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SRE knowledge and Python skills. Practice common interview questions and coding challenges to ensure you're ready to impress when it counts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with automation and agentic AI – it’ll make you stand out!
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 is your chance to shine! Use it to explain why you're passionate about SRE and how your skills can help us eliminate operational toil. Keep it concise but impactful – we want to feel your enthusiasm!
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 shows you’re keen on joining the StudySmarter team!
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 production-grade code and how it helped eliminate operational toil.
✨Showcase Your Process Re-engineering Skills
Prepare examples of how you've mapped and redesigned operational processes in the past. Talk about the impact of your changes, like reducing cycle times or standardising workflows. This will demonstrate your ability to optimise processes effectively.
✨Demonstrate Your Agentic AI Experience
Be ready to discuss your experience with agentic AI and how you've implemented workflows that take action. Share measurable outcomes from your previous roles, such as reductions in alert volume or improvements in MTTR, to show your impact.
✨Familiarise Yourself with the Banking/Finance Sector
If you have experience in the banking or finance market risk domains, make sure to highlight it. If not, do some research on the sector and be prepared to discuss how your skills can apply to their specific challenges.
