Director of Software Engineering- Trader Voice Engineering

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Corporate Sector

This role is for a Director of Software Engineering focused on Trader Voice Engineering within JPMorgan Chase's Global Technology organization. The primary responsibility is to lead engineering teams in delivering resilient, global infrastructure solutions for real-time communications platforms. While AI/ML is mentioned as an emerging technology to be translated into product vision and engineering strategy, and there's a preference for experience with AI-enabled infrastructure, the core of the role is in traditional infrastructure engineering and communications platforms, not in building or researching AI models themselves.

What you'd actually do

  1. Leads one or more engineering areas within infrastructure engineering, collaborating across technical domains to deliver cohesive, enterprise‑grade solutions
  2. Provides strategic and operational leadership to engineering teams, team leads, and managers in alignment with corporate and divisional objectives
  3. Partners closely with senior stakeholders to deliver solutions that meet business requirements, regulatory expectations, and service‑level objectives (SLOs/SLAs)
  4. Drives disciplined execution across risk management, controls, security, and operational resilience
  5. Partners with product leaders on product definition, roadmap planning, backlog prioritization, and customer‑facing SLOs/SLAs

Skills

Required

  • Formal training or certification in infrastructure engineering or a related discipline
  • 7+ years of applied experience
  • 5+ years of experience leading technologists in complex, global engineering environments
  • Demonstrated experience managing infrastructure engineering teams with accountability for operational execution and delivery governance
  • Strong engineering background designing, deploying, and operating Trader Voice or real‑time communications platforms across a global estate
  • Proven success in an engineering leadership role delivering end‑user‑facing infrastructure solutions
  • Deep understanding of the full product lifecycle, including strategy, architecture, engineering, implementation, and operations
  • Broad knowledge of technology standards, industry trends, and emerging technologies
  • Working knowledge of infrastructure engineering tools and programming or scripting languages (e.g., Python or automation tooling)
  • Experience contributing to agile delivery artifacts such as Jira stories and Confluence documentation
  • Exposure to budget and financial management

Nice to have

  • Experience driving Global Technology excellence through responsible adoption of AI‑enabled infrastructure, automation, and tooling
  • Ability to define and influence portfolio‑ or enterprise‑level strategies for AI‑assisted infrastructure aligned to business outcomes
  • Experience owning governance, risk posture, and operational readiness for AI usage within infrastructure domains
  • Experience shaping operating models, talent strategies, and success metrics for an AI‑augmented engineering workforce
  • Track record of fostering continuous learning and responsible innovation at scale

What the JD emphasized

  • 7+ years of applied experience
  • 5+ years of experience
  • Trader Voice or real‑time communications platforms