Lead Software Engineer - Data and Payments Data Platform

We have an opportunity to impact your career and provide an adventure where you

can push the limits of what's possible.

As a Lead Software Engineer - Data and Payments Data Platform at JPMorgan Chase

within the Commercial and Investment Banking - Data Analytics Payment Team, you

are an integral part of an agile team that works to enhance, build, and deliver

trusted market-leading technology products in a secure, stable, and scalable

way. As a core technical contributor, you are responsible for conducting

critical technology solutions across multiple technical areas within various

business functions in support of the firm’s business objectives.

Job responsibilities

* Lead the design and delivery of an activity monitoring solution spanning a

React UI and Java/Spring Boot backend services, ensuring scalability,

resiliency, and a low-latency user experience with responsive APIs.

* Lead the design and evolution of event-driven microservices workflows, using

Kafka for inter-service communication and reliable asynchronous processing

(at-least-once delivery, retries, and DLQ patterns).

* Set and uphold engineering standards for the team’s Spring Boot services (API

design, error handling, security, logging, performance tuning, versioning).

* Partner with product owners and stakeholders to translate

monitoring/operational requirements into clear technical designs, delivery

plans, and measurable outcomes.

* Design and maintain data access patterns across MySQL and Databricks,

including connectivity, data retrieval strategies, and performance-efficient

query patterns.

* Establish and evolve the deployment strategy (blue/green, canary, rollback,

configuration management) aligned to engineering and operational needs on

AWS.

* Own and improve CI/CD pipelines using Jenkins, including automated builds,

tests, quality gates, release orchestration, and environment promotions.

* Design, build, and maintain the React-based UI, including performant,

data-heavy grid experiences using AG Grid, state management, and frontend

quality controls.

* Ensure production readiness through observability (metrics, logs, tracing),

alerting, incident response runbooks, and proactive problem management.

* Drive team adoption of enterprise-authorized AI-assisted engineering

practices to improve code quality, delivery speed, and operational outcomes,

while establishing consistent validation standards (secure coding, peer

review, automated testing) and promoting reuse of effective patterns.

* Apply knowledge of SDLC toolchains, including enterprise-authorized

AI-assisted development and automation capabilities, to improve the value

realized by automation.

Required qualifications, capabilities, and skills

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

years applied experience

* In addition, 2+ years in a technical lead / lead engineer role driving design

and delivery with cross-functional partners and being an highly collaborative

team player with strong ownership/accountability and a high-energy delivery

mindset (bias for action, urgency, excellence)

* Strong hands-on expertise in Java and Spring Boot and strong working

proficiency in Python for automation, data access utilities, and developer

productivity tooling

* Proven experience designing and operating Kafka-based systems

(topics/partitions, consumer groups, ordering, delivery semantics,

retries/DLQs).

* Strong MySQL experience (schema design, indexing, query optimization,

transactions) and solid data modeling skills

* Familiarity with NoSQL datastores and search technologies (e.g.,

Elasticsearch) and when to use them

* Working experience with Databricks and practical knowledge of connecting

applications to Databricks to retrieve data securely and efficiently.

* Demonstrated experience leading effective use of approved AI-assisted

software development tools (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

engineers on safe, compliant adoption within delivery practices

* Experience with AWS cloud platforms, including deploying and operating

services in a cloud environment

* Hands-on React experience building UIs, including performance optimization

for data-heavy screens and grids (e.g., AG Grid) and hands-on experience with

Jenkins CI/CD and modern deployment practices (quality gates, automated

testing, release management, rollback strategies)

Preferred qualifications, capabilities, and skills

* Deep AWS experience (cloud-native design, security/IAM concepts, networking

basics, operational best practices)

* Experience with distributed tracing and observability stacks (e.g.,

OpenTelemetry patterns, log correlation, SLOs/SLIs)

* Containerization and orchestration experience (Docker and Kubernetes/ECS/EKS)

and understanding of deployment tradeoffs

* Infrastructure-as-Code exposure (e.g., Terraform/CloudFormation) and

environment standardization practices

* Experience with security and compliance-minded engineering (secrets

management, least privilege, secure SDLC, dependency vulnerability

management)

* Domain experience in monitoring/telemetry/activity tracking platforms,

audit/event pipelines, or operational analytics systems

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.

We recognize that our people are our strength and the diverse talents they bring

to our global workforce are directly linked to our success. We are an equal

opportunity employer and place a high value on diversity and inclusion at our

company. We do not discriminate on the basis of any protected attribute,

including race, religion, color, national origin, gender, sexual orientation,

gender identity, gender expression, age, marital or veteran status, pregnancy or

disability, or any other basis protected under applicable law. We also make

reasonable accommodations for applicants’ and employees’ religious practices and

beliefs, as well as mental health or physical disability needs. Visit our FAQs

[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about

requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including

Disability/Veterans

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking,

markets, securities services and payments. Corporations, governments and

institutions throughout the world entrust us with their business in more than

100 countries. The Commercial & Investment Bank provides strategic advice,

raises capital, manages risk and extends liquidity in markets around the world.