Job Description

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 Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, 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. Promote 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

Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture. Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions. Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies. Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics. Promote software and model quality, integrity, and security across the organization.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments. Hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript. Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies. Experience in

cloud platforms

such as AWS, GCP, or Azure. Knowledgeable in machine learning frameworks, ML Ops tools and practices. Strong proficiency in

engineering programming languages (e.g., Python, Java)

and infrastructure as code (e.g., Terraform, CloudFormation). Proficient in building

AI Agents

(e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and

RAG

based solutions (e.g., open search). Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD). Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks. Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.

Preferred qualifications, capabilities, and skills

Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

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