Lead Software Engineer

JPMorgan Chase

Confirmed live today Trusted

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

Market check

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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Lead Software Engineer

Role Posting Log in to save

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 the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed while ensuring secure coding standards. You will manage the Software Development Life Cycle using tools like Artifactory, Maven, Gradle, and Docker. The role requires expertise in AWS services including EKS, Lambda, and DynamoDB, alongside proficiency in Java, Spring Boot, Python, or Go. You will also leverage Kubernetes, GraphQL, and monitoring tools like Dynatrace and Splunk to ensure application resiliency and operational stability.

Skills

AWS Kubernetes Python Go Java Spring Boot AI-assisted engineering CI/CD MongoDB PostgreSQL DynamoDB API Gateway RDS Docker 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-generated outputs including security, performance, and accuracy.
Identify and automate the remediation of recurring issues to improve system operational 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 automation and continuous delivery methods across the software development life cycle.

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 safe, compliant adoption.
Experience with Artifactory, package management (Maven, Gradle, NPM, Pypi, NuGet, Docker), GraphQL, or monitoring tools like Dynatrace and Splunk (preferred).

Save