Senior Manager of Software Engineering -Front office trading

JPMorgan Chase

Quick summary

Work type: On-site
Location: Jersey City, NJ
Salary: $171,000–$260,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $216k

$129k most similar roles pay here $274k

This role pays more than 66% of similar roles. Most pay $176,937–$223,750 — the shaded band above. At the midpoint, this role pays about $216k versus about $200k for comparable roles.

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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Manager of Software Engineering -Front office trading

Role Posting Log in to save

The Senior Manager of Software Engineering role at JPMorgan Chase’s TCIO Trade Execution Technology involves leading a high-impact engineering team to enhance platform stability and business impact in fixed income and derivatives. This position requires overseeing technology initiatives, providing technical guidance, and mentoring software engineers while ensuring the development of secure, high-quality production code. Key responsibilities include driving outcome-oriented designs through collaboration with external vendors and internal teams, fostering a culture of diversity and inclusion, and scaling operating practices for AI-assisted engineering to improve delivery speed and quality. The ideal candidate will have advanced skills in Java or Python, hands-on experience with AWS cloud services, microservices architecture, containerization tools like Docker and Kubernetes, and modern monitoring solutions such as DataDog. Additionally, the role demands expertise in software development best practices, CI/CD pipelines, and leading multi-team adoption of AI-assisted development tools while ensuring secure handling of sensitive data.

Skills

Java Python AWS Docker Kubernetes CI/CD RESTful API microservices architecture DataDog Dynatrace Splunk code reviews responsible AI stakeholder management fixed income and derivatives

What you'll do

Leads the development of secure, high-quality production code for complex financial systems.
Oversees and scales operating practices for AI-assisted engineering across multiple teams.
Drives evaluation sessions with external vendors to ensure system applicability and integration.
Implements modern software development best practices including CI/CD pipelines and code reviews.
Manages multi-team adoption of enterprise-authorized AI tools, ensuring secure handling of sensitive data.
Architectures large-scale distributed systems supporting fixed income and derivatives trading platforms.
Influences engineering best practices and technical strategy across diverse teams within the organization.

What we're looking for

5+ years of software engineering experience with formal training or certification.
Expertise in Java and/or Python programming languages.
Hands-on experience with AWS cloud services, including EC2, S3, Lambda, RDS.
Experience designing, developing, and deploying scalable applications in cloud environments.
Proficiency in microservices architecture and RESTful API development.
Knowledge of containerization tools (Docker) and orchestration platforms (Kubernetes).
Strong understanding of responsible AI use, including data sensitivity and security implications.

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