Manager of Software Engineering

JPMorgan Chase & Co.•Columbus, OH

10d

About The Position

As a Manager of Software Engineering on JPMorganChase’s Community and Consumer Banking – Business Banking Technology team, you will help build secure, stable, and scalable digital solutions for small businesses. You will own complex services and end-to-end delivery, shape technical direction, modernize core capabilities, influence architecture across squads, and improve engineering quality, reliability, and speed to market. The role partners closely with business, product, operations, and engineering teams to deliver resilient platforms and strong client experiences. The position combines hands-on technical leadership with people development and cross-team influence. It covers full-stack engineering with Java and Spring Boot alongside React or Angular, event-driven systems using Kafka, production excellence, observability, and engineering practices throughout the software development lifecycle. The manager also drives responsible, governed adoption of approved AI-assisted engineering tools and automation, with validation standards for correctness, security, and performance.

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 experience with React or Angular and pragmatic API/UI design tradeoffs.
Experience building and operating Kafka-based event-driven systems, including retries, idempotency, ordering, and dead-letter queues.
Solid 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 covering authentication and authorization, secure APIs, data protection, and dependency hygiene.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating outputs.
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 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 with the role’s focus areas.

Responsibilities

Lead technical design and delivery of complex full-stack capabilities across services and user experiences using Java and Spring Boot with 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 tools.
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 to improve code quality, delivery speed, and operational outcomes.
Establish measurable validation standards for AI-assisted practices, 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 tools, to improve the value realized from automation at scale.
Set team expectations for validating AI-generated outputs for correctness, performance, and security, and coach senior engineers and leads on compliant usage patterns and controls.

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.

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