Senior Manager of Software Engineering Front office trading

Lead a high-impact engineering team in JPMorganChasesTCIO Trade Execution Technology. Partner with senior stakeholders to raise engineering standards and automate recurring issuesdriving platform stability and business impact acrossfixed income and derivatives.

As a Manager of Software Engineering at JPMorgan Chase in the Corporate Technology -Treasury & Chief Investment Office Technology team you play a pivotal leadership role by providing advanced technology solutions both individually and as a technical coach and mentor to a team of talented and driven software engineers. Leveraging your expertise you oversee essential technology initiatives across various technical domains within the Trade Execution technology team supporting the business goals of the Treasury & Chief Investment Office (TCIO).

Job responsibilities

• Provides guidance to the immediate team of 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.
• Develops secure high-quality production code and sets the overall guidance and expectations for team output practices and collaboration
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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 teams work in accordance with compliance standards service level agreements and business requirements
• Creates a culture of diversity opportunity inclusion and respect for the team members
• 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.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years of applied experience
• Hands-on practical experience delivering system design application development testing and operational stability
• Advanced in one or more programming language(s)- Javaor Python
• Hands-on experience with AWS cloud services (e.g. EC2 S3 Lambda RDS etc.).
• Experience designing developing and deploying scalable applications in cloud environments.
• Familiarity with microservices architecture and RESTful API development is needed .
• Experience with containerization and orchestration tools (e.g. Docker Kubernetes).
• Experience with modern monitoring and logging tools (e.g. DataDog Dynatrace Splunk).
• Experience with software development best practices including code reviews testing and CI/CD pipelines.
• 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.

Preferred qualifications capabilities and skills

• Experience in architecting large-scale distributed systems.
• Ability to drive technical strategy and influence engineering best practices across teams.
• Strong stakeholder management and the ability to align technical solutions with business goals.
• Prior experience supporting trade execution platforms and familiarity with investment banking products - fixed income and derivatives