Lead Software Engineer - Java- Shared Services

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

As a Lead Software Engineer - Common Services  at JPMorgan Chase within the Risk Technology team, you will be a key player in an agile team, tasked with designing and delivering secure, stable, and scalable market-leading technology products. Your role involves implementing critical technology solutions across various technical areas within different business functions to support the firm's business objectives. Our primary front-end technologies include Typescript, and React, which interface with a Spring Boot back-end and are deployed to Kubernetes-based platforms on both private and public clouds. A significant part of your role will be to ensure that our deployments, conducted via a build server, are efficient and well-controlled. 

We primarily use  Typescript, and React as our main front-end technologies, interfacing with a Spring Boot back-end and deploying to Kubernetes-based platforms on both private and public cloud.  We have a heavy focus on ensuring that our deployments, via a build server, are both efficient and well-controlled.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems 

• Works closely with multiple teams to understand requirements, create solutions which meets business needs for the widest number of teams

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems 

• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

• Continuously improves on system stability and efficiency

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development 

• Contributes to software engineering communities of practice and events that explore new and emerging technologies 

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience 

• Hands-on practical experience in system design, application development, testing, and operational stability 

• Solid development experience and hands-On coding experience in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka

• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages 

• Overall knowledge of the Software Development Life Cycle 

• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security 

• Solid experience with Cloud deployment solutions such as Kubernetes 

Preferred qualifications, capabilities, and skills

• Advanced competency in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka, AWS, Databricks, Data Mesh, Graph QL

• Experience with build tools such as Maven

• Familiarity with modern back-end technologies 

• Deep experience in cloud technologies