Java Kafka Streaming Lead Software Engineer

JPMorgan Chase & Co. • Columbus, OH

3d

About The Position

As a Lead Software Engineer on JPMorganChase’s Consumer & Community Banking Marketing and Customer Insights Technology team, you will contribute to an agile team that builds and enhances secure, stable, scalable technology products. You will deliver critical technology solutions across technical areas in support of business objectives.

The role focuses on leading the design and delivery of high-throughput Kafka-based event streaming platforms and services, applying event-driven architecture and distributed-systems reliability practices. You will develop backend and, for full-stack needs, frontend applications; work with cloud platforms, APIs, web technologies, and SQL and NoSQL databases; and deliver secure, high-quality production code.

You will guide technical direction and design decisions, improve streaming-system operability, and promote approved AI-assisted engineering practices. This includes setting standards for validating AI-assisted work for correctness, performance, security, and responsible handling of sensitive information. You will also evaluate technical solutions with vendors, startups, and internal teams, and identify opportunities to automate recurring remediation and improve operational stability.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Proficiency in backend technologies such as Java, Spring Boot, or Node.js, with experience building microservices-based applications; full-stack roles also require experience with technologies such as HTML, CSS, JavaScript, TypeScript, React, or Angular.
• Experience leading the 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 independently solve design and functionality challenges with minimal supervision.
• Experience with cloud platforms such as AWS, Azure, or GCP, distributed systems, RESTful APIs, web services, WebSockets, and JSON.
• Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
• Ability to lead technical direction, drive architecture decisions, write and own design documents, align stakeholders, and deliver amid ambiguity.
• Experience improving operability for streaming systems, including SLOs or SLAs, on-call readiness, monitoring, incident response, and postmortems.
• Experience leading effective use of approved AI-assisted software development tools, and setting expectations for validating outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers in safe, compliant adoption.
• Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.

Nice To Haves

• Strong presentation, negotiation, mentoring, and stakeholder-management skills.
• Strong problem-solving, analytical, and communication skills.
• Ability to broaden 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, and troubleshoot software solutions, including addressing complex technical problems beyond routine approaches.
• Lead the design and delivery of Kafka-based event-streaming platforms and services in high-throughput environments.
• Build backend applications and microservices using technologies such as Java, Spring Boot, and Node.js; contribute to frontend development using technologies such as HTML, CSS, JavaScript, TypeScript, React, and Angular.
• Work with cloud platforms, distributed systems, RESTful APIs, web services, WebSockets, and JSON.
• Develop secure, high-quality production code and review and debug code written by others.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices, setting validation standards and promoting effective patterns for code quality, delivery, testing, and operational outcomes.
• Use software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Identify opportunities to eliminate or automate recurring remediation and improve software and system stability.
• Lead technical direction by driving architecture decisions, owning design documentation, aligning stakeholders, and delivering through ambiguity.
• Improve streaming-system operability, including service objectives, on-call readiness, monitoring, incident response, and postmortems.
• Coach engineers in safe, compliant AI-assisted development practices, including handling data sensitivity and secure inputs and outputs.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical credentials, and fit with existing systems and information architecture.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive 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