Job Description

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

As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, 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 adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

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

• 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 applied experience

• Hands-on experience in Java, Spring, AWS, event streaming, Hibernate, JPA, SQL and NoSQL DB.

• Expertise in monitoring tools - Dynatrace, Splunk, Grafana etc

• Lead the architecture, design, and implementation of distributed systems and microservices using Java and Spring Boot.

• Develop and maintain cloud-native applications on AWS, leveraging services such as EC2, Lambda, S3, RDS, and DynamoDB.

• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

• Design and implement real-time data pipelines and event-driven architectures using Apache Kafka. Guide and mentor software engineers, conduct code reviews, and ensure best practices in software development.

• Collaborate with product managers, QA, and DevOps teams to deliver high-quality software on schedule. Troubleshoot and resolve complex technical issues across the application stack.

• Ensure application security, scalability, and reliability.

• Stay current with emerging technologies and industry trends, recommending improvements as needed. Hands-on practical experience delivering system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills

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

• In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience