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JPMorgan Senior Lead Software Engineer - Full stack/Front end United States, Virginia 212617407
11.01.2025
Bring your Lead Engineering Full Stack/ Front End engineering skills to the next level where you will work with state-of-the-art technology and will collaborate closely with Applied AI engineering. In this role you will coordinate the inference needs of JPMorgan Chase’s research teams, ensuring alignment with business goals.
As a Senior Lead Software Front End / Full Stack Engineer JPMorgan Chase within the Corporate Sector, specifically the AIML Technology division, you will play a crucial role in an agile team. Your responsibilities will include enhancing, developing, and delivering a company-wide AI/ML/Data Platform in a secure, stable, and scalable manner. As a technical contributor, your duties will encompass the architecture, design, and construction of AI/ML related Front-End and API capabilities. You will have the opportunity to work with both traditional AI/ML and Generative AI.
Job responsibilities
- Architects, Design and implements User and Developer Experience capabilities for our AI/ML platform, including but not limited to inference, training, scheduling, orchestration, and storage.
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Optimizes system performance by identifying and resolving inefficiencies and bottlenecks.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Develops advanced monitoring and management tools for high reliability and scalability.
- Collaborates with product teams to deliver tailored, technology-driven solutions.
- Drives the adoption and execution of ML Platform tools across various teams.
- Integrates Generative AI within the ML Platform using state-of-the-art techniques.
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or 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 delivering system design, application development, testing, and operational stability
- Proven experience with modern Frameworks and Libraries such as React, HTML, CSS, and JavaScript
- Proven experience with REST APIs, Distributed Systems, Cloud Technologies
- Proven experience with use of Design Systems and building pattern libraries.
- Proven experience with developing for accessible standards and system for accessible design.
- Advanced in one or more programming language(s) Java, Spring
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems
Preferred qualifications, capabilities, and skills
- Experience with prompt engineering and interacting with various LLM vendors and models.
- Cloud certification
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