Senior Lead Software Engineer, Platform / Linux Engineering

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYJersey City, NJ
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $182k
$89k $250k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,000–$213,200.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Platform / Linux Engineering

As a Senior Lead Software Engineer- Platform / Linux Engineering within the Corporate Sector- Infrastructure Platforms, you will join an agile team supporting Electronic Trading Services Platforms. You will serve as a hands-on technical leader designing, building, and tuning Linux-based compute and infrastructure platforms for low-latency electronic trading. Your daily responsibilities include writing production-quality code, architecting next-generation deployment models like immutable infrastructure and containerization, and performing deep performance engineering involving kernel tuning, CPU isolation, and kernel-bypass networking. You will utilize Python, Go, Bash, Chef, Ansible, Terraform, Docker, and Kubernetes. Additionally, you will leverage Agentic AI tools to accelerate engineering tasks and research. This role solves complex compute and performance-engineering challenges by optimizing the stack from the hardware and kernel layers up to the application level.

What you'll do

  • Design, build, and operate high-performance Linux platforms for low-latency electronic trading from the hardware and kernel levels.
  • Architect new system designs and deployment models including immutable infrastructure, containerization, and automated provisioning pipelines.
  • Perform deep performance engineering including kernel tuning, CPU isolation, NUMA awareness, and kernel-bypass networking.
  • Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability.
  • Leverage Agentic AI tools to accelerate engineering tasks, automate research, and drive AI-assisted engineering practices across teams.
  • Interface with hardware and software vendors to define next-generation infrastructure roadmaps and product requirements.
  • Deliver reusable technical solutions across multiple domains and mentor SREs and peer engineers on technical best practices.

What we're looking for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Strong programming skills to build production-grade tooling and automation using Python, Go, or Bash.
  • Deep hands-on Linux engineering expertise in administration, internals, performance tuning, and benchmarking for low-latency environments.
  • Hands-on experience with kernel-bypass networking, specifically Solarflare Onload, and configuration management tools like Chef or Ansible.
  • Hands-on experience applying Agentic AI tools and enterprise-authorized AI-assisted software development tools to accelerate engineering tasks.
  • Solid understanding of IPv4 networking, including the OSI model, routing, and network segregation mechanisms.
  • Experience designing CI/CD pipelines, infrastructure-as-code (e.g., Terraform), and cloud-native container orchestration (e.g., Docker, Kubernetes).
  • Experience leading cross-functional teams of technologists, including hiring, developing, and recognizing talent.
  • Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning (preferred).
  • Familiarity with observability stacks, standard cryptography, and electronic trading messaging technologies (preferred).
  • Experience with database management systems, preferably PostgreSQL (preferred).

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