Lead Software Engineer - Java

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 JPMorganChase within the Operations Technology team, you are 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 firm’s 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
• Develops secure high-quality production code, and reviews and debugs code written by others

• 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.

• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on experience with data streaming and messaging frameworks (MQ, Kafka, Spark, etc.)Understanding of dependency injection frameworks (Spring / Spring Boot, etc.)Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience with micro services/RESTful API, relational/NoSQL databases, data modeling and data ingestion frameworks.

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

• 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

• Proficiency in automation and continuous delivery methods

• Practical cloud native experience

• Should demonstrate the ability to quickly adapt to emerging technology trends, particularly in artificial intelligence (AI), and proactively introduce industry best practices to enhance system performance, scalability, and innovation.

• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Experience with distributed systems and cloud technologies (AWS, GCP, Azure, etc.)

• In-depth knowledge of the financial services industry and their IT systems
• Cloud certification. Practical cloud native experience
• Lead and mentor engineers. Work closely with development, UAT, Product and operations teams to integrate performance testing and automation into the software development lifecycle
• Design and implement robust automation frameworks and tools to support continuous integration and delivery
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness