Lead Software Engineer

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Houston, TX
Posted: 10 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$187k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$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

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As a Lead Software Engineer within the Corporate Data and Analytics Service team, you will serve as a core technical contributor in an agile environment focused on delivering secure, stable, and scalable technology products. You will be responsible for designing, developing, and troubleshooting creative software solutions while reviewing and debugging production code. Your daily work involves driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed, while also leading evaluation sessions with vendors and internal teams regarding architectural designs. You will manage complex data ingestion, management, and analytics tasks within the financial services industry. The role requires advanced proficiency in Java, Python, Databricks, and AWS, alongside expertise in CI/CD, application resiliency, security, and various software development life cycle toolchains to solve critical technical problems across multiple business functions.

Skills

Python Java Databricks AWS CI/CD Agile System Design Data Analytics Data Management Software Development Life Cycle Automated Testing Secure Coding Application Resiliency AI-assisted Engineering

What you'll do

Design, develop, and troubleshoot creative software solutions to solve complex technical problems.
Write 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 consistent validation standards for secure coding, peer reviews, and automated testing.
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.
Manage data ingestion, management, and analytics processes within a financial services context.

What we're looking for

Formal training or certification in software engineering concepts.
5+ years of applied experience in software engineering.
Advanced proficiency in one or more programming languages such as Python, Java, Databricks, or AWS.
Experience delivering system design, application development, testing, and operational stability.
Demonstrated experience leading the use of approved AI-assisted software development tools for coding, review, and troubleshooting.
Strong understanding of responsible AI use in engineering workflows including data sensitivity and security.
Proficiency in all aspects of the Software Development Life Cycle (SDLC) and advanced knowledge of agile methodologies like CI/CD.
In-depth knowledge of the financial services industry and their IT systems.