Senior Lead Software Engineer, Platform / Linux Engineering

JPMorgan Chase

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Quick summary

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

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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 in the Electronic Trading Services Platforms group. You will serve as a hands-on technical leader responsible for designing, building, and tuning Linux-based compute and infrastructure platforms that power low-latency electronic trading businesses. Your daily work involves writing production-quality code, architecting novel deployment models like immutable infrastructure and containerization, and performing deep performance engineering including kernel tuning, CPU isolation, and kernel-bypass networking. You will utilize Python, Go, Bash, Chef, Ansible, Terraform, Docker, and Kubernetes, while leveraging Agentic AI tools to accelerate engineering tasks. You will solve complex compute and performance-engineering challenges, interfacing with hardware vendors to define next-generation infrastructure for high-throughput, low-latency trading environments.

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, peer engineers, and senior stakeholders.

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.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and understanding responsible AI use.
  • 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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