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JPMorganChase

engineering opportunity

Senior Lead Software Engineer - AI Development | Engineering Services & Platforms

You will design, build, and scale a firm-wide platform for managing software dependency risk using Java and AWS. Additionally, you will drive the adoption of AI-assisted engineering practices and provide technical guidance to cross-functional teams.

Columbus, Ohio, United StatesonsiteFULL_TIME

Posted

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 Chief Technology

Office (CTO), 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.

As the Senior Lead Software Engineer you will work on a rare greenfield

opportunity to solve for one of the fastest-growing threats in enterprise

technology - Software Dependency Risk. As AI-assisted development accelerates

the adoption of open-source and commercial packages across the firm,

understanding what software your applications depend on — and whether it's

healthy, secure, and compliant — has never been more critical. JPMorgan Chase's

answer to that challenge: a firm-wide platform that gives 60,000 developers and

their engineering leaders visibility into the dependency health of 6,000+

applications. We are past ideation and into the market — an early product in

hand, the roadmap ahead, and a mandate to build something that becomes

foundational infrastructure for how the firm manages software risk at scale.

Job Responsibilities

* Take ownership end-to-end — from design through deployment and production

support

* Build and scale core platform capabilities: data ingestion pipelines,

dependency analysis services, and developer-facing product features

* Regularly provides technical guidance and direction to support the business

and its technical teams, contractors, and vendors

* Write production-quality Java on AWS — services, APIs, data pipelines, and

the infrastructure that ties them together.

* Use AI and agentic development tools to develop 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

* Collaborate closely with engineers, product managers (US and UK), and

designers to ship features that real engineering teams depend on

Required qualifications, capabilities, and skills

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

years applied experience

* Hands-on practical experience delivering data-intensive system design,

application development, testing, and operational stability

* Advanced in one or more programming language(s) - Java

* Experience building core platform capabilities — data ingestion pipelines,

dependency analysis services, and developer-facing

* 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 - AWS (Lambda, S3, RDS, or similar

services)

Preferred qualifications, capabilities, and skills

* Experience with Greenfield architecture.

* Experience delivering AI/ML solutions in financial services, capital markets,

or operations-focused environments

* Experience working in highly regulated environments with strong model risk,

governance, or control expectations

* Experience designing scalable system architectures for AI products and

platforms across multiple stakeholder groups

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.

Which skills does this role require?

JavaAWSSoftware engineeringSystem designData ingestion pipelinesDependency analysisAI-assisted developmentCloud nativeAPI developmentCode reviewDebuggingSoftware risk managementAgile methodologiesTechnical leadershipAutomationLambdaS3RDSSoftware Dependency RiskData ingestionAPISDLCTLMAgileSoftware riskEngineering servicesPlatform engineeringCode qualityRoot-cause analysisTechnical operationsInfrastructureData pipelinesSecurityComplianceScalabilityMachine LearningProduct Strategy

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