Manager of Software Engineering-Business Banking

Join our Business Banking Technology team and help build secure, stable, and scalable digital solutions that enable small businesses to manage their finances and achieve their goals. You will shape technical direction, modernize core capabilities, and raise the bar for engineering excellence across a growing organization.

As a Manager of Software Engineering 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.

• Lead technical design and delivery of complex full-stack capabilities across

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+

requirements and secure-by-design engineering practices

• Relevant cloud or security certifications aligned to the role’s focus areas

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

• Experience building client-facing digital products in banking, lending,

• Drive event-driven architecture patterns using Kafka, including idempotency,

• Establish and continuously improve engineering practices, including automated

testing strategy, continuous integration/continuous delivery (CI/CD) quality gates, and release readiness

• Own production excellence by reducing incidents, improving root cause

analysis prevention, tuning performance, and strengthening operational readiness

• Improve observability by defining actionable metrics, dashboards, logs, and

• Mentor engineers through design reviews, pairing, and technical coaching

• Partner across product, operations, and engineering teams to align delivery

• 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.

• Advanced hands-on experience building microservices and APIs using Java (8+)

• Strong full-stack engineering depth with modern web frameworks (React or

• Proven experience building and operating event-driven systems with Kafka,

including reliability patterns (retries, idempotency, ordering, and dead-letter queues)

• Solid database skills using Structured Query Language (SQL), including data

• Experience with NoSQL data stores (for example Cassandra, DynamoDB, or

• Experience designing resilient, highly available architectures, including

failure-mode analysis, recovery strategies, and secure engineering practices (authentication/authorization, secure APIs, data protection, dependency hygiene)

• 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

• Experience deploying and operating services on cloud platforms such as Amazon

• Experience with service reliability practices such as service-level

• Familiarity with Payment Card Industry Data Security Standard (PCI DSS)