Java Lead Software Engineer Kafka

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

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

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
• Lead and inspire a team of entry-level to mid-level software engineers fostering a culture of collaboration innovation and excellence
• Oversee technical design architecture and implementation to ensure high-quality scalable solutions
• Produce architecture and design artifacts for complex applications ensuring that design constraints are met during software code development
• Gather analyze synthesize and develop visualizations and reporting from large diverse data sets to support continuous improvement of software applications and systems
• 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
• 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
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on Software Engineering concepts and 5 years applied experience
• 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
• Hands-on practical experience delivering system design application development testing and operational stability
• Proficient in all aspects of the Software Development Life Cycle
• 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.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Proficiency in Java REST and microservices with experience building event-driven microservices and Kafka streaming
• Experience with Spring Framework Spring Boot and public or private cloud infrastructure
• Proven record of providing end-user support with excellent problem-solving abilities
  

• Exposure to AI - using python AI Copilot in VScode/Intellij
• knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS etc)
• knowledgeabout messaging Kafka
• knowledge aboutRelational/NoSQL databases