AM Proxy Voting - Lead/Manager Software Engineer

Job Description
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 Python Engineer at JPMorgan Chase within the AM Research 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. 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, particularly in cloud-based systems and AI-driven solutions.
Job Responsibilities

• Develops secure and high-quality production code, and reviews and debugs code written by others, with a focus on cloud-based systems using AWS and Python.
• Implements and optimizes RAG-based semantic search and LLM inference workflows using OpenAI and Claude models.
• Drives decisions that influence the product design, application functionality, and technical operations and processes.
• Serves as a function-wide subject matter expert in cloud deployment and AI technologies.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
• Adds to the team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

• Minimum 8-10 years of experience in implementing cloud based Python applications.
• Hands-on practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments.
• Advanced proficiency in Python programming.
• Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS.
• Ability to tackle design and functionality problems independently with little to no oversight, demonstrating self-starter capabilities.
• Practical cloud-native experience, specifically with AWS.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred Qualifications, Capabilities, and Skills

• Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models.
• Proven track record of proposing solutions independently and owning execution end-to-end in an individual contributor role.