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JPMorganChase

engineering opportunity

Lead Software Engineer

The Lead Software Engineer will design and deliver secure, scalable software solutions while driving the adoption of AI-assisted engineering practices. They are responsible for mentoring team members and improving operational maturity through automation and robust system architecture.

Columbus, Ohio, United StatesonsiteFULL_TIME

Posted

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 Lead Software Engineer at JPMorganChase within the Chief Technology office

- Intelligent Solutions Product Line 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.

Job Responsibilities

* Design and deliver creative software solutions through architecture,

development, and technical troubleshooting, applying non-routine thinking to

decompose complex problems and build durable solutions.

* Architect, build, and operate secure, high-quality production systems

using Java, and AI code generation assistant tools aligned to CTO standards

for resiliency, availability, and risk controls.

* Drive adoption of enterprise-authorized AI-assisted engineering practices

(e.g., AI-assisted code review/refactoring, test acceleration,

troubleshooting support), establishing validation standards (secure coding,

peer review, automated testing) and promoting reuse of effective patterns

across teams.

* Partner with product and engineering leadership to shape technical vision and

execute roadmaps across ISPL capabilities (process/decisioning,

workflow/robotics automation, data transformation, and business

intelligence).

* Implement and continuously improve automation-first engineering practices

including CI/CD, environment management, and release controls to reduce

manual interventions for both vendor-integrated and custom-built solutions.

* Integrate AI/ML capabilities into software systems where appropriate (e.g.,

LLM-powered experiences, retrieval-augmented patterns, NLP workflows), while

ensuring secure handling of sensitive data and outputs.

* Design experiments, implement algorithms, evaluate results, and produce

scalable and observable AI/ML components and services (including

model/service performance, latency, and reliability).

* Identify recurring production issues and drive automation/remediation to

improve system reliability, reduce toil, and raise operational maturity

(instrumentation, alerting, incident response, and root-cause elimination).

* Mentor and coach engineers and AI practitioners within a global organization,

reinforcing engineering excellence, ownership, and accountability.

Required Qualifications, Capabilities, and Skills

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

years applied experience

* 8+ years of hands-on software engineering experience delivering system

design, application development, testing strategies, and production

operations/stability.

* Advanced proficiency in Java (and/or strong proficiency in Python), including

strong knowledge of software engineering best practices, design patterns,

performance, and secure coding.

* Demonstrated experience effectively using enterprise-authorized AI assistant

tools in engineering workflows (e.g., coding support, code review, test

acceleration, troubleshooting), with appropriate validation and controls.

* Experience with platform engineering and enabling reusable engineering

capabilities at scale (developer experience, automation platforms, shared

services).

* Experience implementing AI/ML-enabled applications at the code level (e.g.,

LLMs, Generative AI, NLP), including integration patterns such as RAG,

evaluation/quality approaches, and safe deployment practices.

* Strong understanding of responsible AI use in engineering workflows,

including data sensitivity considerations, secure handling of inputs/outputs,

and adherence to resiliency, privacy, and security expectations.

* Experience building and improving CI/CD pipelines and automation across the

SDLC, reducing manual steps and improving repeatability and auditability.

* Cloud-native engineering experience (preferably AWS) including

containerization, observability, and operational readiness.

* Prior experience leading/mentoring engineers as a hands-on practitioner

delivering production-grade solutions.

Preferred Qualifications, Capabilities, and Skills

* Experience integrating vendor platforms within large enterprises

(architecture, controls, upgrades, operational support, and extensibility).

* Familiarity with agentic workflow concepts and frameworks (examples may

include LangChain/LangGraph-style patterns where enterprise-approved),

including orchestration, tool-use patterns, and evaluation/guardrails.

* Knowledge of financial services technology environments, operating models,

and control expectations.

* Strong practical experience with modern cloud-native architectures

(microservices, event-driven patterns, infrastructure as code, resilience

patterns).

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?

JavaPythonSoftware engineeringSystem designCloud-native engineeringAWSCI/CDArtificial intelligenceMachine learningLLMNLPRAGAutomationTechnical leadershipArtificial IntelligenceMachine LearningSoftware EngineeringSystem DesignAgileLeadershipMentoringObservabilityContainerizationTechnical TroubleshootingSecure CodingRisk ControlsData TransformationBusiness IntelligenceRobotics AutomationLLMsProduct Strategy

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