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 potential incentive compensation. This onsite role in Jersey City, NJ offers a competitive base salary in the range of USD 152,000 to 215,000 per year and a culture that values diversity, opportunity, inclusion, and respect.
Responsibilities
- Provide ongoing technical guidance and directional leadership to the business, engineering teams, contractors, and vendors
- Deploy and operate end-to-end machine learning models in production environments
- Deploy and maintain services in a fully cloud native environment
- Champion enterprise AI assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team
- Develop secure, high-quality production code and review or debug code written by others
- Influence decisions affecting product design, application functionality, and technical operations and processes
- Serve as a function-wide subject matter expert in one or more focus areas
- Contribute to the engineering community by advocating firmwide SDLC frameworks, tools, and practices
- Apply SDLC tooling knowledge, including enterprise authorized AI assisted development and automation, to increase the value of automation
- Encourage peers and project stakeholders to consider and adopt new, leading-edge technologies
- Contribute to a team culture that values diversity, opportunity, inclusion, and respect
Requirements
- Formal training or certification in software engineering with at least five years of applied experience
- Hands-on experience delivering system design, application development, testing, and maintaining operational stability
- Advanced proficiency in one or more programming languages
- Deep knowledge of software applications and technical processes with substantial expertise in cloud, artificial intelligence or machine learning, mobile, or related areas
- Proven track record leading the effective use of approved AI assisted software development tools, 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, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption
- Ability to independently address design and functionality challenges with minimal supervision
- Practical cloud native experience
- Educational background in computer science, computer engineering, mathematics, or a related technical field
Technologies
- Python
- OpenAPI
- OpenTelemetry
- LLamaIndex
- Google ADK
- AWS services
About Us
JPMorgan Chase is a long established financial institution delivering innovative solutions to a global client base across consumers, small businesses, corporations, and government entities. We operate across investment banking, consumer and small business banking, commercial banking, payments processing, and asset management, with a history spanning more than two centuries.
We offer a competitive total rewards package that includes base salary determined by role, experience, and location, plus eligibility for commission or discretionary incentive compensation paid in cash or equity. A range of benefits and programs are provided to meet employee needs, subject to eligibility. JPMorgan Chase is an equal opportunity employer and values diversity and inclusion across our global workforce.
About the Team
JPMorgan Chase's Commercial and Investment Bank Payment Technologies team operates as a global leader in banking, markets, securities services, and payments. The team collaborates with corporations, governments, and institutions in more than 100 countries to provide strategic guidance, liquidity management, risk control, and capital solutions.
