Sr. Manager of Software Engineering

JPMorgan Chase & Co.•Columbus, OH

10d

About The Position

As a Senior Manager of Software Engineering on JPMorganChase’s Community and Consumer Banking – Business Banking Technology team, you will build secure, stable, and scalable digital solutions that help small businesses manage their finances. You will shape technical direction, modernize core capabilities, and promote engineering excellence across a growing organization. You will own complex services and end-to-end delivery, influence architecture across squads, and improve engineering practices that support quality, reliability, and speed to market. Working closely with business, product, operations, and engineering partners, you will deliver resilient platforms and strong client experiences. The role also drives responsible adoption and governance of approved AI-assisted engineering practices and automation across the software development lifecycle.

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 such as authentication/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, and 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.

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 to 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 continuously 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, with measurable validation standards for secure coding, peer review, and automated testing; promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
Apply knowledge of tools in the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value of automation at scale.
Set team expectations for validating AI-assisted 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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