About the role
What will you do at JPMorganChase?
We have an opportunity to impact your career and provide an adventure where you
can push the limits of what's possible.
As a Senior Lead Software Engineer at JPMorganChase within the Commercial &
Investment Technology in Cash Prime Technology, 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
* 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
* Designs, develops, codes, and troubleshoots with consideration of upstream
and downstream systems and technical implications Drive the delivery of
business value via change programs, projects within the technology group
* Create automated unit tests using a Test Driven Development approach
* Develop a strong understanding of key functions of clearing and settlements
within Cash Prime business
* Partner with supporting tech leads to develop realistic and achievable
project estimates.
* Analyze and build within Control, Stability, Resiliency, Capacity &
Performance areas.
* Perform testing: Unit, SIT & UAT planning and management.
* Doing robust delivery of code into the production environment with zero
tolerance for post implementation issues
* Take part in decisions affecting long range organizational goals & strategic
planning. Proactively look to develop, implement and further development best
practices and contribute to quality improvement, code reviews, code and
architecture standards, code reuse etc.
* 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.
* 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 degree or certification on software engineering concepts and 5+ years
applied experience
* Hands-on practical experience in system design, application development,
testing, and operational stability
* Strong core Java experience with clear understanding of advanced concepts in
collection framework, garbage collection, multi-threading etc.
* Hands on experience in Java\J2EE, Spring Boot, Database knowledge, Kafka,
React JS, CI\CD, designing features, AWS cloud experience
* Strong problem solving, analytical and communication skills (both verbal and
written)
* Experience in developing, debugging, and maintaining code in a large
corporate environment with one or more modern programming languages and
database querying languages
* Solid understanding of agile methodologies such as CI/CD, Applicant
Resiliency, and Security
* Ability to take on difficult and complex large scale problems and provide end
to end solutions.
* Ability to build and maintain strong relationships with stakeholders in
business, operations, operate etc.
* 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.
* Designing & developing micro-front end based micro-services.
* Exposure to Kubernetes platform
* Exposure to DevOps methodology
Preferred qualifications, capabilities, and skills
* Designing & developing micro-front end based micro-services.
* Exposure to Kubernetes platform
* Exposure to DevOps methodology
J.P. Morgan is a global leader in financial services, providing strategic advice
and products to the world’s most prominent corporations, governments, wealthy
individuals and institutional investors. Our first-class business in a
first-class way approach to serving clients drives everything we do. We strive
to build trusted, long-term partnerships to help our clients achieve their
business objectives.
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.
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.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Solutions Engineer
Superior Essex · Sandy Springs, Georgia, United States
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
Lead AI Forward Engineer
Thomson Reuters · Frisco, Texas, United States
AI Evaluations Engineer, US Decision Intelligence
Apple · Cupertino, California, United States
Research Engineer, Responsible Frontier AI Research, DeepMind
Google · New York, New York, United States
Automation Engineer, CGIC & BD AI Automation
Quantum Sky · Reston, Virginia, United States
Role information can change. Confirm current details on the original application page.
