Drimva

JPMorgan Chase

Lead Software Engineer - AI & Quantitative Development

$157K–$215K

New York, NY · Full-time · Posted Oct 23, 2026

Experience
5+ years of applied experience.
Education
Formal training or certification on software engineering concepts.

About the job

Builds and supports front-office quantitative software for the investment management cycle, while leading secure, cloud-based development and AI-assisted engineering practices.

What you'll do

  • Designs, develops, tests, troubleshoots, and maintains secure production software; reviews and debugs others’ code.
  • Leads team adoption of approved AI-assisted engineering tools and establishes standards for validating outputs and using them responsibly.
  • Improves operational stability through automation and evaluates vendor and internal technology solutions.

What they ask for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Hands-on experience with system design, application development, testing, and operational stability.
  • Advanced in one or more programming languages, such as Python or Java; practical cloud-native experience, including AWS and infrastructure as code.
  • Experience leading approved AI-assisted software development and coaching on secure, responsible use; proficiency across the SDLC and knowledge of financial services IT systems.

Nice to have

  • Experience with Spark, Databricks, data engineering, or platform development.
  • Experience with relational databases such as Oracle, cloud data platforms, performance tuning, or query optimization.

Pay

USD $156,750.00-$215,000.00 base salary

Tools

Java, Python, Amazon Web Services (AWS), Terraform, Amazon Simple Storage Service (Amazon S3), Amazon Elastic Compute Cloud (Amazon EC2), Amazon EMR, Spark

AI focus

Leads adoption of approved AI-assisted development for coding, code review, refactoring, testing, troubleshooting, and incident analysis; sets validation standards and promotes secure, responsible use.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)