About the role
What will you do at JPMorganChase?
Be an integral part of an agile team that's constantly pushing the envelope to
enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and
Community Banking's technology 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. Drive significant business
impact through your capabilities and contributions, and apply deep technical
expertise and problem-solving methodologies to tackle a diverse array of
challenges that span multiple technologies and applications.
Job responsibilities
* Regularly provides technical guidance and direction to support the business
and its technical teams, contractors, and vendors
* Develops secure and high-quality production code, and reviews and debugs code
written by others
* 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.
* Own end-to-end architecture and solutioning for Trust & Security data and
integration capabilities (from concept → POC → reference architecture →
production-ready design), including target-state roadmaps and migration
paths.
* Design and implement real-time streaming solutions using Kafka, including
reliability patterns (ordering, idempotency, replay, DLQs), scalability, and
operational readiness; define and enforce data contracts and governance
patterns, including schema registry strategy, schema evolution/compatibility,
ownership, validation, and freshness/quality expectations.
* Build data publishing patterns to the lake / analytical platform, supporting
both streaming and batch use cases with strong observability, data quality
checks, lineage/metadata hooks, and access controls.
* Lead solution engineering for services and pipelines in Java, producing
secure, high-quality production code; reviewing and debugging code written by
others.
* Architect and model data stores for fit-for-purpose needs across: Cassandra
(partitioning, performance and consistency tradeoffs, resiliency patterns)
and Oracle (schema design, SQL performance fundamentals, integration
patterns)
* Design service interfaces and integrations using REST and GraphQL, including
clear API/error contracts, SLAs/SLOs, and backward-compatible change
practices.
* 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.
Required qualifications, capabilities, and skills
* Formal training or certification on software engineering concepts and 5+
years applied experience
* Hands-on practical experience delivering system design, application
development, testing, and operational stability
* Advanced in one or more programming language(s)/framework : Java, Kafka,
Spark, Flink
* Proven experience combining data architecture and solution engineering in
large-scale, production environments.
* Hands-on experience with: Kafka (design and implementation) , Publishing data
to a lake / data platform (streaming and/or batch), Cassandra and Oracle and
ava (services, pipelines, streaming/processing components)
* Experience with schema registry / data contract design and governance.
* Experience building APIs/integrations using REST and GraphQL.
* Strong SDLC discipline (CI/CD, testing strategy, code review, production
support mindset, observability).
* Ability to work independently with little-to-no oversight; strong
problem-solving and rapid learning ability
* 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.
Preferred qualifications, capabilities, and skills
* Domain familiarity in Trust & Security areas such as fraud, IAM, device
trust, cyber signals, third-party risk, and data loss prevention.
* Experience with stream processing frameworks (e.g., Kafka Streams, Flink,
Spark Streaming) and real-time enrichment/correlation patterns; nice to have:
AI/ML concepts and feature store patterns (e.g., online/offline consistency,
feature publishing/consumption).
* Practical cloud-native experience (particularly AWS-based ecosystems) and
platform modernization efforts.
* Track record of driving reuse-first patterns and setting engineering
standards across teams with no direct people management.
* Experience with graph databases; TigerGraph preferred.
Chase is a leading financial services firm, helping nearly half of America’s
households and small businesses achieve their financial goals through a broad
range of financial products. Our mission is to create engaged, lifelong
relationships and put our customers at the heart of everything we do. We also
help small businesses, nonprofits and cities grow, delivering solutions to solve
all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
Our Consumer & Community Banking division serves our Chase customers through a
range of financial services, including personal banking, credit cards,
mortgages, auto financing, investment advice, small business loans and payment
processing. We’re proud to lead the U.S. in credit card sales and deposit growth
and have the most-used digital solutions – all while ranking first in customer
satisfaction.
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