Evantis Consulting
DevOps Engineer

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Site Reliability Engineers (SRE) – London
Contract-Inside IR35
London, UK - 5 Days onsite
Budget: £360/Day Inside IR35
Minimum Requirements
- Minimum 5+ years of experience is a must.
Job Description
Location
5 days onsite
Skills Required
- SRE experience with Python-based applications (not Java)
- Exposure to cloud technologies
- Trade Lifecycle / Market Risk / Risk platform experience
- Minimum 8+ years of experience.
- Banking/Financial experience is desirable.
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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).
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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