Lead Software Engineer - Fullstack Java

JPMorgan Chase & Co. • Columbus, OH

7d

About The Position

As a Senior Lead Software Engineer at JPMorganChase within Community and Consumer Banking - Business Banking Technology, you will own complex services and end-to-end delivery, influence architecture across squads, and drive engineering practices that improve quality, reliability, and speed to market. You will partner closely with business, product, and operations teams to deliver resilient platforms and exceptional client experiences. The role focuses on full-stack Java engineering, event-driven architecture, production excellence, observability, mentoring, and responsible adoption of approved AI-assisted engineering practices.

Requirements

• Formal training or certification in software engineering concepts and 5 or more years of applied experience.
• Advanced hands-on experience building microservices and APIs using Java 8 or later and Spring Boot in large-scale environments.
• Strong full-stack engineering experience with modern web frameworks such as React or Angular and pragmatic API/UI design tradeoffs.
• Proven experience building and operating Kafka-based event-driven systems, including retries, idempotency, ordering, and dead-letter queues.
• Solid SQL database skills, including data modeling, query optimization, and performance tuning.
• Experience with NoSQL data stores such as Cassandra, DynamoDB, or Elasticsearch, including data modeling for scale and reliability.
• Experience designing resilient, highly available architectures, including failure-mode analysis, recovery strategies, and secure engineering practices.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, with the ability to set expectations for validating outputs for correctness, performance, and security.
• Strong 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 senior engineers or leads on compliant AI usage patterns and controls.

Nice To Haves

• Experience building client-facing digital products in banking, lending, payments, or small-business platforms.
• Experience deploying and operating services on cloud platforms such as AWS and/or Cloud Foundry, including modern delivery pipelines.
• Experience with service reliability practices such as service-level objectives, capacity planning, and operational automation.
• Familiarity with PCI DSS requirements and secure-by-design engineering practices.
• Relevant cloud or security certifications aligned to the role’s focus areas.

Responsibilities

• Lead technical design and delivery of complex full-stack capabilities across services and user experiences using Java, Spring Boot, and React or Angular.
• Drive event-driven architecture patterns using Kafka, including idempotency, retries, ordering, schema evolution, and dead-letter queue handling.
• Establish and improve engineering practices, including automated testing strategy, CI/CD quality gates, and release readiness.
• Own production excellence by reducing incidents, improving root cause prevention, tuning performance, and strengthening operational readiness.
• Improve observability by defining actionable metrics, dashboards, logs, and alerts using industry-standard monitoring and telemetry tooling.
• Mentor engineers through design reviews, pairing, and technical coaching, and influence standards and reusable patterns across squads.
• Partner across product, operations, and engineering teams to align delivery plans, manage technical risk, and deliver measurable outcomes.
• Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Establish measurable validation standards for AI-assisted engineering, including secure coding, peer review, and automated testing, and promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Apply knowledge of Software Development Life Cycle toolchain capabilities, including approved AI-assisted development and automation, to improve automation value at scale.

Benefits

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

What This Job Offers

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