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JPMorganChase

engineering opportunity

Senior Lead Software Engineer - Python, PySpark, Big Data, Data pipeline, ML/AI

The Senior Lead Software Engineer will design, develop, and troubleshoot complex software solutions while driving the adoption of AI-assisted engineering practices. They will also define architecture for complex deliverables and analyze large data sets to improve system performance and coding hygiene.

Plano, Texas, 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 JPMorgan Chase within the Consumer and

Community Banking - Risk Technology Portfolio 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. 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:

* Executes software solutions, design, development, and technical

troubleshooting with ability to think beyond routine or conventional

approaches to build solutions or breakdown technical problems

* 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 enterprise-authorized AI-assisted development and

automation capabilities, to drive efficiency and support capacity unlock

initiatives across teams, prioritizing reuse of existing firm technology

assets.

* Creates secure and high-quality production code and maintains algorithms that

run synchronously with appropriate systems

* Drive the AI / ML delivery best practices along with software engineering

best practices.

* 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.

* Define architecture for series of complex deliverables.

* Gathers, analyzes, synthesizes, and develops visualizations and reporting

from large, diverse data sets in service of continuous improvement of

software applications and systems

* Proactively identifies hidden problems and patterns in data and uses these

insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills:

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

years applied experience. In addition, 2+ years of experience leading

technologists to manage and solve complex technical items within your domain

of expertise

* Hands-on practical experience in system design, application development,

testing, and operational stability

* Experience in developing, debugging, and maintaining code in a large

corporate environment with one or more modern programming languages and

database querying languages

* Hands-on experience using enterprise-authorized AI-assisted software

development tools within the work environment (e.g., for coding, test

creation, troubleshooting, or documentation) with demonstrated ability to

critically evaluate, validate, and refine AI-generated outputs for

correctness, performance, and security.

* Solid understanding of agile methodologies such as CI/CD, Application

Resiliency, and Security

* Good knowledge of Machine Learning modelling as an engineer

* Experience in working with one or more programming language(s) and

framework(s) (i.e., Python, PySpark, Big Data, Data pipeline, Machine

Learning, etc.)

* Strong SQL skills with ability to validate features and data quality at scale

* Experience configuring and optimizing Spark clusters for processing large

data.

* Hands-on experience working with AWS services including EMR, EC2, S3, and

CloudWatch

* Working knowledge on Databricks in creating Data Pipelines, Machine learning

models deployment.

Preferred qualifications, skills, and capabilities:

* Expertise with programming languages like Java, python

* Experience in Cloud Technologies (i.e., AWS - Databricks preferred)

* Experience with serving high volume, High availability & ultra low latency

API solutions with Java - Spring Boot applications

* Awareness with Python Machine Learning libraries and ecosystems (i.e.,

Pandas, Numpy, etc.)

* AWS certifications (e.g. Solutions Architect Associate)

* Exposure to workflow orchestration tools (e.g. Apache Airflow)

* Familiarity with modern LLM techniques

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 Corporate Technology team relies on smart, driven people like you to develop

applications and provide tech support for all our corporate functions across our

network. Your efforts will touch lives all over the financial spectrum and

across all our divisions: Global Finance, Corporate Treasury, Risk Management,

Human Resources, Compliance, Legal, and within the Corporate Administrative

Office. You’ll be part of a team specifically built to meet and exceed our

evolving technology needs, as well as our technology controls agenda.

Which skills does this role require?

PySparkBig DataData pipelineSQLSystem designCI/CDApplication ResiliencySoftware engineeringCloudWatchAI-assisted engineeringSoftware Development Life CycleEMREC2S3AgileData visualizationAutomationRisk TechnologyTechnical troubleshootingArchitecturePerformance optimizationSparkLLMs

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