Principal Platform Engineer

Trayport Limited; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Trayport Limited in Greater London seeks an experienced SRE/Platform Engineer to design, build, and operate cloud infrastructure across AWS and Azure with on-prem awareness. You will own networking design, reliability, and automation, delivering scalable, observable systems with AI-assisted enhancements.

You will mentor engineers, review architectures, and contribute to the platform roadmap, ensuring operability and resilience from day one.

Qualifications

• Background in Operations or SRE running highly available production platforms.
• Deep hands-on AWS (VPC, networking, EKS) and Azure (AKS, Key Vault, networking).
• Strong networking fundamentals including routing, firewalls, load balancing, and hybrid connectivity.
• Production Kubernetes experience at scale with day-2 operations.
• Infrastructure-as-code and automation as a default working style (Terraform, Ansible; Python/Go/Bash).
• Demonstrable use of AI tooling to improve engineering or operational workflows.
• Ability to mentor senior engineers and influence design decisions.

Responsibilities

• Design, build, and operate infra across AWS, Azure, and on-prem environments.
• Own core networking design and implementation, including private links and load balancing.
• Engineer for high availability, multi-region/ AZ, and disaster recovery.
• Develop and maintain IaC, CI/CD, and Kubernetes platforms as products.
• Define SLOs, observability standards, and drive post-incident reviews.
• Identify AI-assisted workflows and establish guardrails for safe AI use.

Skills

AWS

Azure

Kubernetes

Networking

IaC

Terraform

Ansible

Python

Go

Bash

AI tooling

Mentoring

Databases

Tools

Terraform

Ansible

Kubernetes

GitOps

Job description

• 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