Lead Software Engineer Shared Services

As aLead 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 firms 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