This listing doesn't post a salary. Most similar roles pay
$175,500–$222,000.
Based on 240 similar postings.
Employer
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.
As a Senior Manager of Software Engineering - Front office Trade Execution within the Treasury & Chief Investment Office Technology team, you will serve as a technical coach and mentor to software engineers while overseeing essential initiatives for the trade execution technology domain. You will be responsible for guiding teams through design, development, and troubleshooting to create secure production code and automate recurring issues to improve operational stability. Your role involves managing stakeholder relationships, ensuring compliance with service level agreements, and scaling operating practices for AI-assisted engineering and SDLC automation. You must possess expertise in Java or Python, AWS cloud services, microservices architecture, RESTful APIs, containerization tools like Docker and Kubernetes, and monitoring platforms such as DataDog, Dynatrace, or Splunk. The role specifically supports trade execution platforms involving fixed income and derivatives products.
What does a Software Engineering Manager earn?
Median $223750 from 106 postings across 38 companies.
Mentor and provide technical guidance to software engineers on design, development, and troubleshooting.
Develop secure, high-quality production code while setting standards for team output and practices.
Identify opportunities to automate the remediation of recurring issues to improve system stability.
Lead evaluation sessions with internal teams and external vendors to ensure outcome-oriented designs.
Manage stakeholder relationships in accordance with compliance standards, service level agreements, and business requirements.
Scale operating practices for enterprise-authorized AI-assisted engineering and SDLC automation across multiple teams.
Drive efficiency by leveraging tools within the software development life cycle toolchain to unlock team capacity.
What we're looking for
Formal training or certification on software engineering concepts and 5 years of applied experience.
Proven track record of leading software engineering teams to deliver cutting-edge technology solutions.
Hands-on practical experience in system design, application development, testing, and operational stability.
Advanced proficiency in Java or Python.
Hands-on experience with AWS cloud services and designing scalable applications in cloud environments.
Familiarity with microservices architecture, RESTful API development, containerization (Docker/Kubernetes), and monitoring tools like DataDog or Splunk.
Experience leading multi-team adoption of AI-assisted development tools and understanding responsible AI use in engineering workflows.
Prior experience supporting trade execution platforms and familiarity with investment banking products such as fixed income and derivatives (preferred).