Senior Lead Software Engineer

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Palo Alto, CA
Employment: Full-time
Posted: 68 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 $168k

$107k $237k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,500–$186,500.

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 1262 open roles on FindRole.

Listed pay typically runs $150,433–$215,000 across 11 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer

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As a Senior Lead Software Engineer within the Commercial and Investment Bank Payments Technology team, you will join an agile team focused on delivering secure, stable, and scalable market-leading technology products. You will provide technical guidance to teams and vendors while developing high-quality production code and performing code reviews. Your daily responsibilities include driving the adoption of AI-assisted engineering practices, establishing validation standards for secure coding, and influencing product design and technical operations. You must possess advanced skills in Java, Python, or Go, along with practical cloud native experience. The role requires expertise in responsible AI use, including data sensitivity and secure handling of inputs. You will also utilize tools like Spark, Airflow, and AWS to solve complex reliability problems and improve automation across the software development life cycle.

Skills

Java Python Go AWS Spark Air flow GenAI ML XGBoost System Design SDLC Automated Testing Cloud Native Agentic Systems Statistical Models

What you'll do

Develop secure, high-quality production code and perform code reviews and debugging for other team members.
Provide technical guidance and direction to business teams, contractors, and external vendors.
Drive the adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
Establish measurable validation standards for secure coding, peer reviews, and automated testing.
Influence product design, application functionality, and technical operations through key decision-making.
Serve as a function-wide subject matter expert in specific technical areas of focus.
Advocate for firmwide frameworks, tools, and Software Development Life Cycle practices within the engineering community.
Coach senior engineers on compliant usage patterns for responsible AI in engineering workflows.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages such as Java, Python, or Go.
Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools for coding, review, and troubleshooting.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
Ability to tackle design and functionality problems independently with little to no oversight.
Practical cloud native experience.
Understanding of statistical models, GenAI concepts, agentic systems, and ML tools like Spark or Airflow (preferred).

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