Java​/AWS Lead Software Engineer

Overview

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 Consumer & Community Banking (CCB), 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.

As a core technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

• 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
• Demonstrates a product mindset whilst managing the application life cycles as an application owner
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on Software Engineering concepts and 10+ years applied experience
• Strong system design, application development, and operational stability skills with advanced understanding of agile methodologies, CI/CD, and application resiliency
• Advanced proficiency in Full-stack application development in Python, Java 11/17/21, Kafka & front-end development using React
• Expertise in microservices architecture, RESTful APIs, and database technologies (Postgre
  
  SQL, MySQL and No
  
  SQL databases like Dynamo
  
  DB)
• Skilled in development and testing tools such as JUnit, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, and IntelliJ
• Familiarity with containerization and orchestration tools including Docker, Kubernetes, and Helm
• Experience with performance testing tools including JMeter and Blazemeter
• Experience with distributed systems and cloud platforms including AWS, GCP, and Azure
• Hands-on experience working with Large Language Models (LLMOps) and generative AI, including chunking, tokenization, embeddings, and evaluation pipelines
• Experience with AI/ML frameworks such as Tensor Flow, PyTorch, scikit-learn, and Hugging Face
• Effective communication skills across teams and management levels, with a proactive approach to process improvement and collaboration

• Familiarity with graph databases, vector databases, open search, etc.
• Familiarity of the financial services industry and their IT systems