Senior Lead Software Engineer- Inference platform engineer

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 Corporate

Sector, Infrastructure Platforms 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

* Provide technical guidance aligned to business goals, collaborating with

engineers, contractors, and vendors.

* Develop secure, high-quality production code; review, debug, and improve

others’ code.

* Influence product design, application functionality, and technical operations

through informed decisions.

* Champion firmwide SDLC frameworks, tools, and best practices.

* Promote a culture of diversity, Opportunity, inclusion, and respect.

* Architect and deploy secure, scalable cloud platforms optimized for AI/ML

workloads.

* Partner with AI teams to translate compute needs into infrastructure

requirements.

* Monitor, manage, and optimize cloud resources for performance and cost

efficiency.

* Build CI/CD, automation, and infrastructure-as-code to streamline ML

deployment and operations.

* 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 experience in system design, application development, testing, and

operational stability.

* Strong experience with Kubernetes and containerization (Docker), including

cluster operations and production troubleshooting.

* Proficiency in at least one programming language, such as Python, Go, Java,

or C#.

* Ability to independently tackle design and functionality problems with

minimal oversight.

* Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and

deployment models (Public, Private, Hybrid Cloud).

* Foundational understanding of machine learning concepts, including

transformer architecture, ML training, and inference.

* Experience with Infrastructure as Code.

* Deep understanding of cloud component architecture: Microservices, IaaS,

Storage, Security, and routing/switching technologies.

* 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

* Foundational understanding of NVIDIA GPU infrastructure software (e.g., DCGM,

BCM, Dynamo Inference).

* Proficiency with observability tools like Prometheus and Grafana.

* Experience in ML Ops and related tooling, including MLflow.

* Experience building and scaling a high-performance LLM inference

platform—leveraging vLLM and GPU/CPU serving optimization—to deliver

low-latency, high-throughput, production-grade model serving.

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.