- Location
- London - 2 Gresham Street, United Kingdom
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Source
- Workday
Description
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 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
Trayport is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.
