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JPMorganChase

engineering opportunity

Principal Software Engineer - Databricks

The Principal Software Engineer will architect and govern agentic AI-enabled engineering workflows to improve delivery speed and operational outcomes at scale. They will also provide technical expertise to build and deliver secure, stable, and scalable technology products within the Chief Data & Analytics Office.

Jersey City, New Jersey, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

If you are looking for a game-changing career, working for one of the world's

leading financial institutions, you’ve come to the right place.

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 Principal Software Engineer at JPMorganChase within the Chief Data

Analytics Office - AIML Data Platforms Team, you provide expertise and

engineering excellence as an integral part of an agile team to enhance, build,

and deliver trusted market-leading technology products in a secure, stable, and

scalable way. Leverage your advanced technical capabilities and collaborate with

colleagues across the organization to drive best-in-class outcomes across

various technologies to support one or more of the firm’s portfolios.

Job responsibilities

* Creates complex and scalable coding frameworks using appropriate software

design frameworks

* Develops secure and high-quality production code, and reviews and debugs code

written by others

* Architects and governs agentic AI-enabled engineering workflows (using

enterprise-authorized tools within the work environment) to improve delivery

speed, code quality, and operational outcomes at scale (e.g., AI-driven PR

review assistance, test generation/maintenance, release readiness checks,

incident triage and root-cause acceleration), while defining guardrails for

validation, security, resiliency, and reuse across teams.

* Applies knowledge of tools within the Software Development Life Cycle

toolchain, including enterprise-authorized AI-assisted development and

automation capabilities, to improve the value realized by automation at

scale.

* Advises cross-functional teams on technological matters within domain of

expertise

* Serves as the function’s go-to subject matter expert

* Contributes to the development of technical methods in specialized fields in

line with the latest product development methodologies

* Creates durable, reusable software frameworks that are leveraged across teams

and functions

* Influences leaders and senior stakeholders across business, product, and

technology teams

* Architects and governs agentic AI-enabled engineering workflows (using

enterprise-authorized tools within the work environment) to improve delivery

speed, code quality, and operational outcomes at scale (e.g., AI-driven PR

review assistance, test generation/maintenance, release readiness checks,

incident triage and root-cause acceleration), while defining guardrails for

validation, security, resiliency, and reuse across teams.

* Applies knowledge of tools within the Software Development Life Cycle

toolchain, including enterprise-authorized AI-assisted development and

automation capabilities, to improve the value realized by automation at

scale.

Required qualifications, capabilities, and skills

* 10+ years of experience (or equivalent expertise) leading technology

organizations and delivering complex, enterprise-scale programs.

* Proficient in Python and SDLC processes around it at an enterprise grade.

* Proficient in AWS Infrastructure provisioning using Terraform and Hands-on

experience in AWS resources focusing on Network boundaries, Resource and IAM

policies, cross account / region access patterns and Compute at Scale.

* Executive-level stakeholder leadership: demonstrated ability to influence and

align senior leaders across business, product, and technology organizations.

* Deep expertise in Databricks in large enterprises, including architecture,

performance tuning, cost management, security patterns, and operational

excellence.

* Ability to manage multiple portfolios and competing priorities, establishing

clarity, execution discipline, and transparent decision-making.

* Demonstrated experience designing and leading adoption of agentic AI-enabled

development practices (using enterprise-authorized tools within the work

environment) across teams, including setting standards for human-in-the-loop

validation, auditability/traceability of changes, and secure handling of

sensitive data.

* Strong understanding of responsible AI use and control expectations in

engineering workflows, including security/resiliency implications, data

sensitivity, and risk-based governance; ability to influence senior technical

leaders on safe scaling patterns and reuse.

* Demonstrated experience designing and leading adoption of agentic AI-enabled

development practices (using enterprise-authorized tools within the work

environment) across teams, including setting standards for human-in-the-loop

validation, auditability/traceability of changes, and secure handling of

sensitive data.

* Strong understanding of responsible AI use and control expectations in

engineering workflows, including security/resiliency implications, data

sensitivity, and risk-based governance; ability to influence senior technical

leaders on safe scaling patterns and reuse.

Preferred qualifications, capabilities, and skills

* Strong understanding of global data governance, privacy, and regulatory

requirements, with the ability to translate them into pragmatic technical

architecture decisions and engineering requirements. Strong understanding of

modern data platform architectures (data lakes, data warehouses, lakehouse)

and distributed computing frameworks.

* Proven experience with enterprise metadata, catalog, and lineage platforms,

plus practical expertise with data contracts and schema governance.

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?

PythonDatabricksAWSTerraformSoftware architectureAgentic AICloud infrastructureStakeholder managementSDLCPerformance tuningMachine learningData engineeringSystem designSoftware Development Life CycleData EngineeringMachine LearningCloud InfrastructureData LakehouseIAM PoliciesPerformance TuningStakeholder LeadershipEnterprise ArchitectureAutomationRisk ManagementMetadata ManagementAgileFinancial ServicesData AnalyticsSoftware DesignSystem ScalabilitySecurityResiliencyIncident TriageTechnical Governance

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