Senior Lead Software Engineer, Platform / Linux Engineering

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
43 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $187k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $151,000–$223,750.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 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 team, you will serve as a technical leader for Electronic Trading Services Platforms. You will design, build, and tune Linux-based compute and infrastructure platforms to power low-latency electronic trading businesses. Your daily responsibilities include writing production-quality code and automation, architecting deployment models like immutable infrastructure and containerization, and performing deep performance engineering including kernel tuning, CPU isolation, and kernel-bypass networking. You will utilize Agentic AI tools to accelerate delivery and automate research. Required skills include proficiency in Python, Go, Bash, Chef, Ansible, and Terraform, alongside expertise in Red Hat Enterprise Linux, Docker, Kubernetes, and IPv4 networking. You will also manage hardware/software vendor relationships and mentor peer engineers while ensuring high-performance standards for trading systems.

What you'll do

  • Design, build, and operate high-performance Linux platforms for low-latency electronic trading from the hardware and kernel levels.
  • Perform deep performance engineering including kernel tuning, CPU isolation, NUMA awareness, and kernel-bypass networking.
  • Architect new system designs and deployment models using immutable infrastructure, containerization, and automated provisioning pipelines.
  • Write production-quality code and automation to eliminate manual toil and improve platform reliability.
  • Integrate Agentic AI tools into engineering workflows to accelerate development, research, and incident remediation.
  • Establish governance and standards for AI-assisted engineering practices across the software development lifecycle.
  • Interface with hardware and software vendors to define next-generation infrastructure roadmaps.
  • Deliver reusable technical solutions while mentoring peer engineers and influencing senior stakeholders.

What we're looking for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Strong programming skills in Python, Go, or Bash to build production-grade tooling and automation.
  • Deep Linux engineering expertise including administration, internals, performance tuning, and benchmarking for low-latency environments.
  • Hands-on experience with kernel-bypass networking (Solarflare Onload) and configuration management tools like Chef or Ansible.
  • Experience applying Agentic AI tools and enterprise-authorized AI-assisted software development tools in a professional environment.
  • Solid understanding of IPv4 networking, including the OSI model, routing, and network segregation.
  • Experience with CI/CD pipelines, infrastructure-as-code (Terraform), and container orchestration (Docker, Kubernetes).
  • Experience leading cross-functional teams, hiring, and developing talent; server hardware tuning and market-data technologies are preferred.

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