Senior Manager of Software Engineering, Business Banking

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Columbus, OH
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $195k
$131k $257k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $165,000–$225,000.

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 1238 open roles on FindRole.

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At a glance

TL;DR · Senior Manager of Software Engineering, Business Banking

The Sr. Manager of Software Engineering- Business Banking joins the Business Banking Technology team to build secure, stable, and scalable digital solutions for small businesses. This role involves owning complex services, influencing architecture across squads, and driving engineering practices to improve quality and reliability. You will lead the technical design and delivery of full-stack capabilities using Java, Spring Boot, and React or Angular. Key responsibilities include implementing event-driven architecture patterns with Kafka, managing SQL and NoSQL data stores like Cassandra or DynamoDB, and establishing CI/CD quality gates. You will also drive the adoption of AI-assisted engineering practices and mentor engineers. The work focuses on modernizing core banking capabilities, ensuring production excellence through observability, and delivering resilient platforms for business banking, lending, and payments.

What does a Software Engineering Manager earn?

Median $212450 from 116 postings across 37 companies.

See salary data

What you'll do

  • Lead technical design and delivery of complex full-stack capabilities using Java, Spring Boot, and React or Angular.
  • Drive event-driven architecture patterns using Kafka, including idempotency, retries, and schema evolution.
  • Establish and improve engineering practices for automated testing, CI/CD quality gates, and release readiness.
  • Own production excellence by reducing incidents, performing root cause analysis, and tuning system performance.
  • Improve observability by defining actionable metrics, dashboards, logs, and alerts using telemetry tooling.
  • Mentor engineers through design reviews, technical coaching, and the promotion of reusable patterns across squads.
  • Drive adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
  • Partner with product and operations teams to align delivery plans and manage technical risk.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Advanced hands-on experience building microservices and APIs using Java (8+) and Spring Boot in large-scale environments.
  • Strong full-stack engineering depth with modern web frameworks like React or Angular and pragmatic API/UI design.
  • Proven experience building and operating event-driven systems with Kafka, including reliability patterns like retries and idempotency.
  • Solid database skills using SQL for data modeling, query optimization, and performance tuning.
  • Experience with NoSQL data stores like Cassandra, DynamoDB, or Elasticsearch for data modeling at scale.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and understanding responsible AI use.
  • Experience building client-facing digital products in banking, lending, payments, or small-business platforms (preferred).

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