Lead Software Engineer

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $196k

$169k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $178,175–$213,500.

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 1174 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer

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As a Lead Software Engineer within the Corporate Sector-Chief Technology Office, you will join an agile team to build and deliver secure, stable, and scalable technology products. You will serve as a core technical contributor responsible for designing creative software solutions, developing high-quality production code, and troubleshooting complex problems across various business functions. Your daily work involves driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed while ensuring secure coding standards. You will lead evaluation sessions with vendors and internal teams regarding architectural designs and technical credentials. The role requires proficiency in AWS services like EKS, Lambda, and DynamoDB, along with Kubernetes, Java, Spring Boot, Python, or Go. Additional expertise includes Artifactory, GraphQL, Maven, Gradle, and monitoring tools like Dynatrace and Splunk to ensure operational stability.

Skills

AWS Kubernetes Python Go Java Spring Boot AI-assisted engineering CI/CD Docker MongoDB PostgreSQL DynamoDB API Gateway RDS GraphQL Maven Gradle NPM PyPI NuGet Dynatrace Splunk Artifactory

What you'll do

Develop secure, high-quality production code while reviewing and debugging code written by other team members.
Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
Establish validation standards for AI outputs including security, performance, and peer review requirements.
Identify opportunities to automate the remediation of recurring issues to improve system stability.
Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
Lead communities of practice to promote awareness and adoption of leading-edge technologies.
Implement automated testing and continuous delivery methods within the software development lifecycle.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Proficiency with AWS services including EKS, ECS, Lambda, MongoDB, PostgreSQL, DynamoDB, API Gateway, and RDS.
Hands-on experience with Kubernetes (K8s).
Advanced proficiency in one or more programming languages such as Python, Go, or Java/Spring Boot.
Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies including CI/CD, application resiliency, and security.
Demonstrated experience leading the use of approved AI-assisted software development tools and coaching engineers on responsible AI practices.
Experience with Artifactory, package management (Maven, Gradle, NPM, Pypi, NuGet, Docker), GraphQL, or monitoring tools like Dynatrace and Splunk (preferred).

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