Lead Software Engineer

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Wilmington, DEPlano, 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 $177k

$129k $246k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,362–$208,800.

Based on 240 similar postings.

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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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 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 Corporate Sector Technology, you will join an agile team to build and deliver trusted, scalable technology products. You will design and maintain platform components supporting the end-to-end ML model lifecycle, including development, training, deployment, and monitoring. Your daily work involves building cloud-based infrastructure on AWS using Databricks, EMR, ECS, and S3 to support model training and serving workloads. You will automate deployment and testing processes within the MLOps toolchain while utilizing AI-assisted development tools like GitHub Copilot for code generation and refactoring. Technical requirements include server-side development with Spring Boot, REST, SOAP, and JMS, alongside expertise in RDBMS, SQL, and high-volume transactional systems. You will ensure secure, high-throughput performance across various business functions.

Skills

MLOps AWS Databricks EMR ECS S3 Spring Boot Spring Core MVC DynamoDB EKS RDS Lambda SQL JDBC REST SOAP JMS XML GitHub Copilot Agile SCRUM RDBMS

What you'll do

Design, build, and maintain platform components for the end-to-end ML model lifecycle.
Build and manage cloud-based infrastructure on AWS including Databricks, EMR, ECS, and S3.
Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain.
Monitor platform health and model serving infrastructure to resolve performance and stability issues.
Use AI-assisted development tools to generate, refactor, and test code while ensuring security standards.
Develop automated solutions to support the Platform team's technical objectives.
Build high-volume, low-latency transactional systems using microservices and Spring Boot.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on experience using enterprise-authorized AI-assisted software development tools to create, validate, and refine code.
Understanding of responsible AI use, including data sensitivity, secure handling of inputs/outputs, and security expectations.
Hands-on server-side development experience with Web Services, XML, SOAP, REST, and JMS.
Experience building high-volume, low-latency, high-throughput transactional systems.
Experience building microservices using Spring Boot, Spring Core, MVC, Web Services, and Messaging.
Experience with AWS services including S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.
Strong knowledge of RDBMS, schema design, SQL, query optimization, indexing, joins, and JDBC.
Agile Development experience with SCRUM or similar methodologies.
Experience managing projects end-to-end from requirements scoping to launch (preferred).
Experience in MLOps and building model serving applications (preferred).
Experience with artificial intelligence and machine learning tools and frameworks in development (preferred).
Bachelor’s degree in a quantitative field with 10+ years of experience, or a Master’s degree with 5+ years of experience (preferred).
Completed AWS Developer or Solution Architect Certification (preferred).

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