Senior Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to

enhance, build, and deliver top-notch technology products.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for

accelerating the firm’s data and analytics journey. This includes ensuring the

quality, integrity, and security of the company's data, as well as leveraging

this data to generate insights and drive decision-making. The CDAO is also

responsible for developing and implementing solutions that support the firm’s

commercial goals by harnessing artificial intelligence and machine learning

technologies to develop new products, improve productivity, and enhance risk

management effectively and responsibly.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate - AIML

Data Platforms, in this role 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. With your Senior Lead Engineering

experience you will 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.

* 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.

* Drives decisions that influence the product design, application

functionality, and technical operations and processes

* Serves as a function-wide subject matter expert in one or more areas of focus

* Actively contributes to the engineering community as an advocate of firmwide

frameworks, tools, and practices of the Software Development Life Cycle

* 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 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)

* 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.

* Ability to tackle design and functionality problems independently with little

to no oversight

* Practical cloud native experience.

* 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

* Proficiency in Go or Python for automation, tooling development, or platform

service implementation.

* Experience with MLOps frameworks and tools such as Kubeflow, MLflow, or

similar AI/ML lifecycle management platforms.

* Working knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face,

scikit-learn) for model integration and operationalization.

* Exposure to multi-cloud or hybrid cloud architectures and platform

portability strategies.

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

Our professionals in our Corporate Functions cover a diverse range of areas from

finance and risk to human resources and marketing. Our corporate teams are an

essential part of our company, ensuring that we’re setting our businesses,

clients, customers and employees up for success.