Lead Software Engineer - Big Data, Java/Python
Company: JPMorgan Chase & Co.
Location: Chicago
Posted on: April 1, 2026
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Job Description:
Description 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 at JPMorgan Chase within the
Commercial & Investment Bank'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. 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. You’ll be tasked with keeping the team
and other key stakeholders up to speed on the progress of what’s
being developed. Coming in with an understanding of the importance
of end-to-end software development-such as Agile frameworks-is key.
And best of all, you’ll be working with and sharing ideas,
information and innovation with our global team of technologists
from all over the world. Job responsibilities Executes creative
software solutions, design, development, and technical
troubleshooting with ability to think beyond routine or
conventional approaches to build solutions or break down technical
problems Develops secure high-quality production code, and reviews
and debugs code written by others and enhance modern
infrastructure, operations and advancement in stable and matured
technology platforms Enhance modern infrastructure, operations and
advancement in stable and matured technology platforms. Identifies
opportunities to eliminate or automate remediation of recurring
issues to improve overall operational stability of software
applications and systems Leads evaluation sessions with external
vendors, startups, and internal teams to drive outcomes-oriented
probing of architectural designs, technical credentials, and
applicability for use within existing systems and information
architecture Govern Architecture and Design Quality of Service in
production environments Perform cross impact analysis with systems,
products , third party technology & business stakeholders to ensure
systemic changes are handled seamlessly Partner with firm wide
technology architecture councils, working groups with the intent of
defining, driving apt software development practices in product
operating model. Document and deliver crisp communication in
various artifacts as needed in product roadmap and execution to
technology, product and business stakeholders. Work with
requirements which may not be available to the last level of detail
Work independently with very little supervision Required
qualifications, capabilities, and skills Formal training or
certification on software engineering concepts and 5 years applied
experience in software development and architecture Experience in a
Big Data technology (Hadoop and Spark Architecture, Performance
tuning, Spark SQL, HIVE, SQOOP, KAFKA, Impala, HBASE, Entitlements
etc., ) and in data analysis Hands-on practical experience
delivering system design, application development, testing, and
operational stability of application, data and infrastructure
architecture disciplines Advanced in languages such as Java/Python
in a large enterprise Extensive AWS & Cloud Foundry experience -
transactional and analytical workloads Advanced understanding of
agile methodologies such as CI/CD, developer tool chain,
application resiliency, and security and operational experience
with multiple applications running in Kubernetes clusters Expertise
in modernization using micro-front end patterns, micro-services &
APIs, Event Driven Architecture, Containerization/Kubernetes, and
cloud databases Familiarity with multiple enterprise integration
patterns & techniques and heavy Production Systems experience
Familiar with security & business risks, troubleshooting and root
cause analysis Experience in domain driven design, lean
architecture and agile delivery, proven design patterns on
frameworks, integration, resiliency, security, cost, high
availability and scalability Hands on experience in building
enterprise wide platforms or cloud PaaS/SaaS services is an
advantage Preferred qualifications, capabilities, and skills 3
years of experience in big data technology
Keywords: JPMorgan Chase & Co., Mount Prospect , Lead Software Engineer - Big Data, Java/Python, IT / Software / Systems , Chicago, Illinois