Top Software Engineer Jobs

As a Lead Software Engineer, you'll design and implement cloud-native microservices applications, manage the entire software development lifecycle, and support products throughout their lifecycle in a collaborative environment. You'll work on various projects within the fintech space, focusing on delivering solutions that enhance the banking experience for customers.

Lead Software Engineer responsible for creating innovative software solutions and ensuring the stability of applications within a collaborative team. Duties include developing production-quality code, debugging, and enhancing operational stability through automation and design evaluation.

As an Infrastructure Engineer III at JPMorgan Chase, you will engage in database administration tasks, including query optimization and complex migrations. You will implement backup procedures, provide consulting services to internal clients, and collaborate with application development teams to ensure successful database operations and modernization efforts.

As a Lead Software Engineer, you will leverage Neo4J and AWS to create knowledge graph solutions for commercial banking. Responsibilities include designing graph database schemas, developing CI/CD pipelines for machine learning, managing large-scale datasets, and collaborating with the Data Platform team.

As Director of Infrastructure Engineering, you will lead the Product Infrastructure Engineering/SRE function, manage teams, drive incident management, and collaborate on complex projects to enhance the Streaming platform's efficiency and reliability.

The Senior Associate for Auto Risk Insights at JPMorgan Chase will build a data-driven narrative on the Auto market and lending portfolio. Responsibilities include data exploration, developing analytics, and supporting strategic initiatives to inform business decisions, while collaborating with various stakeholders and presenting findings to senior leadership.

As a Machine Learning Engineer at JPMorgan Chase, you will design and develop machine learning systems, preprocess datasets, research algorithms, and support workflows for experiments and model deployments. You will transform prototypes into deployable models and develop applications based on business requirements.