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Principal Platform Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: TMX Group
Full Time position
Listed on 2026-09-16
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Network Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 GBP Yearly GBP 140000.00 210000.00 YEAR
Job Description & How to Apply Below
## Principal Platform Engineer Apply locations:
London - 2 Gresham Streettime type:
Full time posted on:
Posted Todayjob requisition :
R-6320

We're hiring a Principal Platform Engineer to be a senior technical anchor in our Platform/Operations function. This is a 70% hands-on engineering role: you'll design, build, and operate the infrastructure that keeps a global trading platform running, while acting as a technical mentor and design authority across the wider team.
A core part of this role is leading our adoption of AI within operations — using LLM-based tooling, agentic workflows, and automation to reduce toil, accelerate incident response, and raise the operational leverage of the whole department. We're not looking for someone to write a strategy deck about AI; we're looking for someone who will build with it.##
**** What you'll do
******** Platform & cloud engineering (the 70%)****
* **** Design, build, and operate infrastructure across AWS (VPC, networking, EKS), Azure (AKS, AKV, networking), with an understand of on-prem environments****
* **** Own core networking design and implementation across within Cloud environments — connectivity, routing, DNS, load balancing, firewalls, and private links between cloud and on-prem****
* **** Engineer for high availability: multi-region and multi-AZ architectures, failover design, capacity planning, and disaster recovery for a platform where downtime has direct market impact****
* **** Build and maintain infrastructure-as-code (Terraform or similar), CI/CD pipelines, and Kubernetes platforms as products consumed by engineering teams
******** SRE & reliability****
* **** Define and drive SLOs, error budgets, and observability standards (metrics, logging, tracing) across the platform****
* **** Take part in post-incident reviews and help with the resulting reliability work to completion****
* **** Continuously reduce toil through automation — if we've done it manually twice, you're already scripting it
******** AI-driven operations****
* **** Identify, prototype, and product ionise AI-assisted workflows across the department: incident triage and summarisation, runbook automation, log/alert analysis, change-risk assessment, internal knowledge tooling****
* **** Use AI-assisted engineering tools (Copilot, or equivalents) as a first-class part of your own workflow, and coach the team to do the same safely and effectively****
* **** Establish sensible guardrails for AI use in a regulated, availability-critical environment, knowing when automation should act and when it should recommend
******** Technical leadership (the 30%)****
* **** Act as a mentor to engineers across the Platform and Operations teams, raising the bar on design, code, and operational practice****
* **** Be a design authority on cross-team projects: review architectures, challenge assumptions, and ensure new services are built to be operable, observable, and resilient from day one****
* **** Contribute to the technical roadmap for the platform function, balancing reliability investment against delivery****##
**** What we're looking for
******** Must have****
* **** A background in Operations or SRE running highly available, redundant production platforms — you understand failure domains, graceful degradation, and what "five nines" costs****
* **** Deep hands-on experience with AWS (VPC design, networking, EKS) and Azure (AKS, Key Vault, networking) — genuinely multi-cloud, not one cloud plus a certification****
* **** Strong Networking fundamentals: TCP/IP, routing concepts, firewalls, load balancing, hybrid connectivity (Direct Connect / Express Route, VPNs)****
* **** Production Kubernetes experience at scale, including day-2 operations (upgrades, capacity, security, multi-cluster)****
* ****…
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