Lead Software Engineer - Machine Learning at JPMC Candidate Experience page

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

215000.0

Posted On

18 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Cloud Native Development, Python, AI-Assisted Engineering, System Design, API Development, AWS, OpenAPI, LLamaIndex, Google ADK, Oauth2, OpenTelemetry, Supervised Learning, Unsupervised Learning, Microservices, Software Development Life Cycle

Industry

Financial Services

Description

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 Commercial and Investment Bank Payments Technology 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 * Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors * You will be responsible for deploying and serving end to end ML models. * Deploy and maintain services in a fully cloud native environment. * Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. * Develops secure and high-quality production code, and reviews and debugs code written by others * Drives decisions that influence the product design, application functionality, and technical operations and processes * Serves as a function-wide subject matter expert in one or more areas of focus * Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle * 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. * Influences peers and project decision-makers to consider the use and application of leading-edge technologies * Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 5+ years applied experience * Hands-on practical experience delivering system design, application development, testing, and operational stability * Advanced in one or more programming language(s) * Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices * Ability to tackle design and functionality problems independently with little to no oversight * Practical cloud native experience * Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills * Proficient in Python programming for building traditional ML models and APIs * Good understanding of designing and deploying OpenAPI compliant API services. * Good understanding of building Agentic workloads using AI frameworks such as Google ADK and LLamaIndex. * Ability to configure Oauth2 based authentication and authorization flows for applications. * Good understanding of OpenTelemetry and modern microservice deployment patterns. * Good understanding of AWS services ability to deploy high reliability cloud native workloads. * Knowledgeable in building and debugging ML models built using supervised and unsupervised learning algorithms. 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 J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

Lead the deployment and maintenance of end-to-end ML models and cloud-native services within an agile team. Drive the adoption of AI-assisted engineering practices to improve code quality and operational outcomes.