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$170,051–$216,300.
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
1174 open roles
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As a Senior Manager of Software Engineering - Front office Technology within the Treasury & Chief Investment Office Technology team, you will lead the development of mission-critical platforms supporting global financial markets. You will serve as a technical coach and mentor for software engineers while managing multiple programs within Trade Execution technology. Your daily responsibilities include partnering with front office desks to improve operational efficiency, overseeing system design, and implementing AI-assisted engineering practices across the SDLC. You will manage stakeholder relationships and ensure compliance with service level agreements. The role requires expertise in Java or Python, AWS cloud services like EC2 and Lambda, containerization tools such as Docker and Kubernetes, and monitoring tools including DataDog and Splunk. You must possess deep domain knowledge of investment banking products, specifically fixed income, mortgages, and derivatives.
What does a Software Engineering Manager earn?
Median $217650 from 120 postings across 44 companies.
Develop technical solutions and proposals with the Front Office to improve operational efficiency.
Serve as a functional team manager for multiple programs within Trade Execution Technology.
Provide technical guidance, design oversight, and troubleshooting support to software engineers.
Identify cross-team dependencies and lead evaluation sessions with internal teams and external vendors.
Manage stakeholder relationships while ensuring compliance with service level agreements and business requirements.
Scale operating practices for enterprise-authorized AI-assisted engineering and SDLC automation across multiple teams.
Drive efficiency by implementing tools within the software development life cycle toolchain to unlock capacity.
Lead the adoption of secure, high-quality AI-assisted development patterns and governance models.
What we're looking for
Formal training or certification on software engineering concepts and 5 years of applied experience.
Advanced proficiency in one or more programming languages, specifically Java or Python.
Hands-on experience with AWS cloud services including EC2, S3, Lambda, and RDS.
Experience designing, developing, and deploying scalable applications in cloud environments using containerization and orchestration tools like Docker and Kubernetes.
Experience with modern monitoring and logging tools such as DataDog, Dynatrace, or Splunk.
Experience supporting trade execution platforms with knowledge of investment banking products including fixed income, mortgages, and derivatives.
Proven track record of leading software engineering teams to deliver cutting-edge technology solutions.
Experience leading multi-team adoption of enterprise-authorized AI-assisted development tools and ensuring responsible AI use in engineering workflows.