Lead Software Engineer

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
OH
Posted
37 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $198k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $184,425–$211,200.

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.

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At a glance

TL;DR · Lead Software Engineer

Lead Software Engineer As a Senior Lead Software Engineer within the Consumer & Community Banking – Deposits 2.0 team, you will join an agile team focused on building secure, stable, and scalable technology products. You will lead the end-to-end design and delivery of Java services and APIs while architecting cloud-native solutions on Amazon Web Services. Your daily responsibilities include mentoring engineers through code reviews, optimizing data pipelines using Databricks and Apache Spark, and driving engineering excellence in CI/CD and automated testing. You will also champion the adoption of AI-assisted engineering practices to improve code quality and delivery speed. The role requires expertise in Spring Boot, microservices, SQL, Kafka, and Python. You will solve complex problems across distributed systems, cloud infrastructure, and artificial intelligence to automate workflows and enhance user experience within a high-throughput production environment.

What you'll do

  • Design and deliver scalable Java services and APIs optimized for performance, resiliency, and maintainability.
  • Architect and implement cloud-native solutions on Amazon Web Services using structured patterns for reliability and scalability.
  • Mentor engineers through code reviews, design guidance, and the establishment of pragmatic engineering standards.
  • Build and optimize data pipelines using Databricks and Apache Spark for analytics and machine learning workflows.
  • Drive engineering excellence through continuous integration, automated testing, and secure software development practices.
  • Lead the adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish measurable validation standards for AI-generated outputs regarding security, performance, and accuracy.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Advanced Java experience, including building Spring Boot-based services in a microservices architecture.
  • Hands-on experience building cloud-native applications on Amazon Web Services (AWS).
  • Experience with continuous integration/delivery, modern build tools, and automated testing frameworks like JUnit.
  • Knowledge of relational databases, SQL, and messaging systems such as Kafka.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and ensuring responsible AI practices.
  • Advanced Python experience for automation, data engineering, or machine learning enablement (preferred).
  • Experience with infrastructure as code, containerization (Docker/Kubernetes), CockroachDB, and Go (preferred).

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