Senior Platform Engineer

JPMorgan Chase & Co.; Greater London; On-site; GBP 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Platform Engineer to lead hands-on design, build, and tuning of Linux-based compute and infrastructure platforms powering its low-latency electronic trading businesses.

You will write code, automate deployments, architect novel models, and push latency reductions through hardware, kernel, and network layers. You will mentor partner teams, align technical strategy with business goals, and drive performance engineering while leveraging Agentic AI tooling to

Qualifications

• 10+ years of hands-on software/systems engineering experience.
• Production-grade tooling and automation via Python/Go/Bash.
• Deep Linux engineering expertise including admin, internals, performance tuning.
• Experience in low-latency, high-throughput environments.
• Kernel-bypass networking experience, Solarflare Onload.
• Experience using Agentic AI tools to accelerate engineering tasks.
• CI/CD and infrastructure-as-code design (Terraform).
• Cloud-native/container orchestration (Docker/Kubernetes).
• Experience leading cross-functional technologists and hiring.

Responsibilities

• Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up.
• Architect new system designs and next-generation deployment models — including immutable infrastructure, containerization, and automated provisioning pipelines
• Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization
• Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed
• Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster
• Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure
• Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures
• Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Deliver reusable technical solutions that can be leveraged across multiple businesses and domains
• Mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams
• Champion the firm's culture of diversity, opportunity, inclusion, and respect

Skills

Python

Go

Bash

Linux

Low-latency engineering

Kernel tuning

CPU pinning

Networking

Terraform

Docker/Kubernetes

Agentic AI tools

Education

Bachelor's degree in Computer Science/Engineering

Tools

Solarflare Onload

Chef or Ansible

Terraform

Docker

Kubernetes

Prometheus

Grafana

ELK

PostgreSQL

Job description

As aSenior Platform Engineerat JPMorganChase within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.

You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.

Job Responsibilities

• Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up
• Architect new system designs and next-generation deployment models — including immutable infrastructure, containerization, and automated provisioning pipelines
• Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization
• Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed
• Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster
• Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure
• Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures
• Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Deliver reusable technical solutions that can be leveraged across multiple businesses and domains
• Mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams
• Champion the firm's culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software/systems engineering concepts and 10+ years of applied, hands-on experience
• Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)
• Deep, hands-on Linux engineering expertise — administration, internals, performance tuning, and benchmarking, preferably Red Hat Enterprise Linux
• Proven experience engineering forlow-latency, high-throughputenvironments (kernel tuning, CPU/NUMA optimization, precision timing)
• Hands-on experience with kernel-bypass networking, specificallySolarflare Onload
• Hands-on experience applyingAgentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks
• Extensive experience with configuration management, preferably Chef or Ansible
• Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms
• Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)
• Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)
• Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent
• Expertise in Computer Science, Computer Engineering, or a related technical field

Preferred Qualifications, Capabilities, and Skills

• Experience building or integrating Agentic AI / LLM-based workflows and automation into engineering pipelines
• Experience mentoring SRE and partner teams on automation best practices, systems design, and modern infrastructure management
• Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads
• Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK)
• Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)
• Performing research, development, and risk analysis in the areas above
• Understanding of standard cryptography (certificates, key pairs, secure communication, etc.)
• Experience with database management systems, preferably PostgreSQL
• Experience leading a product as a Product Owner or Product Manager