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