Senior Engineering Manager, AI-Driven Front Office Platform

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Senior Manager of Software Engineering to lead and mentor teams building mission-critical platforms for global markets.

You will shape technical strategy, drive AI-assisted development, and deliver scalable, secure applications. You will oversee the Trade Execution Technology within TCIO, guiding multi-team initiatives, partnering with Front Office desks, and ensuring governance, security, and resiliency across cloud-native microservices on AWS.

Qualifications

• Formal training or certification on software engineering concepts and 5 years of applied experience.
• Experience supporting trade execution platforms, with strong business knowledge of investment banking products including fixed income, mortgages, and derivatives.
• Strong track record of leading software engineering teams to deliver cutting-edge technology solutions.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Experience designing, developing, and deploying scalable applications in cloud environments.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with modern monitoring and logging tools (e.g., DataDog, Dynatrace, Splunk).
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.

Responsibilities

• Partner with the Front Office Desk to understand book-of-work requirements and develop solutions/proposals that improve operational efficiency.
• Serve as functional team manager for multiple programs within Treasury & Chief Investment Office (TCIO) Trade Execution Technology
• Provides guidance to the software engineers on daily tasks and activities to execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches.
• Anticipates dependencies with other teams and leads evaluation sessions with external vendors and internal teams to drive outcome-oriented designs and ensure applicability within existing systems and information architecture.
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.

Skills

Java

Python

Tools

AWS

Docker

Kubernetes

DataDog

Dynatrace

Splunk

Job description

JPMorgan Chase & Co. in New York seeks a Senior Manager of Software Engineering to lead and mentor teams building mission-critical platforms for global markets.

You will shape technical strategy, drive AI-assisted development, and deliver scalable, secure applications. You will oversee the Trade Execution Technology within TCIO, guiding multi-team initiatives, partnering with Front Office desks, and ensuring governance, security, and resiliency across cloud-native microservices on AWS.