Java Backend Lead Software Engineer Kafka AWS

JPMorgan Chase & Co. • Wilmington, DE

1d

About The Position

As a Java Backend Lead Software Engineer within JPMorgan Chase’s Consumer and Community Banking division, you will contribute to an agile team building and enhancing trusted technology products in a secure, stable, and scalable manner. You will lead technical direction and deliver critical solutions across technical areas in support of business objectives, with particular emphasis on Kafka-based event streaming and distributed systems. You will also promote responsible, enterprise-approved AI-assisted engineering practices, improve application operability, and share leading-edge technology practices across Software Engineering.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Practical experience delivering system design, application development, testing, and operational stability.
• Proficiency in backend technologies such as Java, Spring Boot, or Node.js, and experience building microservices-based applications.
• Ability to independently solve design and functionality challenges with minimal supervision.
• Experience with cloud platforms such as AWS, Azure, or GCP; distributed systems; and web technologies including RESTful APIs, web services, WebSockets, and JSON.
• Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
• Experience leading the effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating AI outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• Experience coaching engineers on safe, compliant adoption of AI-assisted tools in delivery practices.
• Experience leading design and delivery of Kafka-based event streaming platforms or services in high-throughput environments, with deep knowledge of event-driven architecture patterns and distributed systems reliability.
• Ability to lead technical direction, drive architecture decisions, own design documents, align stakeholders, and deliver through ambiguity.
• Experience improving operability for streaming systems, including SLOs/SLAs, on-call readiness, monitoring, incident response, and postmortems.

Nice To Haves

• Strong presentation, negotiation, mentoring, and stakeholder management skills.
• Strong problem-solving, analytical, and communication skills.
• Ability to contribute to broader impact by sharing and contributing best practices.
• AWS certification.
• Production experience building and operating high-volume data-processing pipelines using Apache Spark (Spark SQL or Structured Streaming) and/or Apache Flink (DataStream or Table API).

Responsibilities

• Design, develop, troubleshoot, and deliver software solutions, including approaches that address complex technical problems beyond routine patterns.
• Develop secure, high-quality production code and review and debug code written by others.
• Drive adoption of enterprise-authorized AI-assisted engineering practices, with consistent validation standards for secure coding, peer review, and automated testing; promote reuse of effective patterns.
• Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Identify opportunities to eliminate or automate remediation of recurring issues and improve operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.
• Lead Software Engineering communities of practice to raise awareness and adoption of new and leading-edge technologies.
• Lead the design and delivery of Kafka-based event streaming platforms and services in high-throughput environments.
• Drive technical direction by making architecture decisions, owning design documents, aligning stakeholders, and delivering amid ambiguity.
• Improve operability of streaming systems, including SLOs/SLAs, on-call readiness, monitoring, incident response, and postmortems.
• Coach engineers on safe and compliant AI-assisted development and establish expectations for validating AI outputs for correctness, performance, and security.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed