Sr. Lead Software Engineer

JPMorgan Chase & Co. • Columbus, OH

4h

About The Position

As a Senior Lead Software Engineer within JPMorganChase’s Community and Consumer Banking – Business Banking Technology team, you will build secure, stable, and scalable digital solutions for small businesses. You will shape technical direction, modernize core capabilities, own complex services and end-to-end delivery, influence architecture across squads, and improve engineering quality, reliability, and speed to market. You will partner with business, product, operations, and engineering teams to deliver resilient platforms and strong client experiences.

The role leads technical design and delivery of full-stack capabilities using Java and Spring Boot alongside React or Angular, and drives reliable event-driven architecture with Kafka. It also advances testing, CI/CD, release readiness, production operations, observability, mentoring, and cross-team engineering standards. The role includes governing approved AI-assisted engineering practices and automation in the software development lifecycle, with measurable validation for correctness, security, and quality and responsible handling of sensitive data.

JPMorganChase offers a competitive total rewards package, with base salary based on role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation. Benefits and programs are subject to eligibility and include health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching. Additional compensation and benefit details are provided during the hiring process.

Requirements

• Formal training or certification in software engineering concepts and at least 5 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 expertise with modern web frameworks such as React or Angular, including pragmatic API and UI design tradeoffs.
• Experience building and operating Kafka-based event-driven systems, including retries, idempotency, ordering, and dead-letter queues.
• SQL 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 such as authentication and authorization, secure APIs, data protection, and dependency hygiene.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools for activities such as coding, code review, test acceleration, or troubleshooting, and setting team expectations for validating AI 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 analysis and 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 with 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, with measurable validation standards for secure coding, peer review, automated testing, and 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 the value realized by automation at scale.

Benefits

• 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