Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Employee Platforms team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Apply machine learning principles, especially in natural language processing (NLP) and deep learning, to effectively work with LLMs.
• Code proficiently in one or more object-oriented languages, including Java17+ with Spring Boot, React JS, and Angular.
• Demonstrate advanced knowledge of software application development and technical processes, with considerable in-depth expertise in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.).
• Understand and implement agile methodologies such as CI/CD, application resiliency, and security.
• Build enterprise applications with high availability using Python, Spring, Kafka, Elastic Search, and distributed cache.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Explore modern development trends and experiment with emerging technologies such as AI and Machine Learning.
• Work at the code level to develop and implement technical solutions.