Principal Platform Engineer

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 productionise 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 / ExpressRoute, VPNs) - Production Kubernetes experience at scale, including day-2 operations (upgrades, capacity, security, multi-cluster) - Infrastructure-as-code and automation as a default working style (Terraform, Ansible, or similar; strong scripting in Python, Go, or Bash) - Demonstrable, practical use of AI tooling to improve engineering or operational workflows — you can show us something you've automated, accelerated, or de-toiled with it - The credibility and communication skills to mentor senior engineers and influence design decisions without formal authority - Understanding of different database technologies Nice to have - Experience in trading, exchanges, market data, fintech, or another latency- and availability-sensitive domain