Senior Lead Software Engineer, Platform / Linux Engineering

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
42 days ago
Freshness
Confirmed live 2 days ago

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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 hands-on 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 in Python, Go, or Bash, architecting deployment models like immutable infrastructure and containerization, and performing deep performance engineering including kernel tuning, CPU pinning, and kernel-bypass networking with Solarflare Onload. You will also leverage Agentic AI tools to accelerate delivery and automate research. Key technical requirements include expertise in Red Hat Enterprise Linux, Ansible, Chef, Terraform, Docker, and Kubernetes. Additionally, you will manage infrastructure-as-code, oversee CI/CD pipelines, and address complex performance challenges at the hardware, kernel, and network layers.

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 and latency optimization including kernel tuning, CPU pinning, and kernel-bypass networking.
  • Write production-quality code and automation in Python, Go, or Bash to eliminate manual toil and improve reliability.
  • Integrate Agentic AI tools into workflows to accelerate research, remediation, and automated software development tasks.
  • Establish governance and standards for AI-assisted engineering practices across the software development life cycle.
  • Interface with hardware and software vendors to define next-generation infrastructure roadmaps.
  • Mentor peer engineers and stakeholders while delivering reusable technical solutions across multiple business domains.

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.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and ensuring secure, compliant usage.
  • Solid understanding of IPv4 networking, including the OSI model, routing, and network segregation.
  • Experience designing CI/CD pipelines, infrastructure-as-code (Terraform), and container orchestration (Docker, Kubernetes).
  • Experience leading cross-functional teams, hiring, and developing talent.
  • Experience with server hardware selection, BIOS tuning, and bare-metal provisioning (preferred).
  • Familiarity with observability stacks, standard cryptography, and market-data messaging technologies (preferred).
  • Experience with database management systems, preferably PostgreSQL (preferred).

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