We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector, AI/ML Data Platforms Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading and cutting edge technology products in a secure, stable, and scalable way. This technology includes AI/ML Platform Solutions using LLMs, public cloud and modern standards and patterns. 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

Develop cutting edge AI/ML Platform solutions using LLMs, public cloud and modern standards and patterns. Develop solutions using AWS Cloud Services for compute, storage, databases, and security and Azure Services Develop solutions using Generative AI Models Work closely with the Product team to design, build and deliver capabilities in agile sprints. Collaborate with cross-functional teams, including data scientists, software engineers, and designers, to integrate generative AI into various applications and products. Develop and implement state-of-the-art generative AI services leveraging Azure Open AI models and AWS Bedrock service.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience. Hands-on experience working on AWS Cloud Based applications development using EC2, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, and Kinesis. Strong understanding of AWS networking, security, IAM roles, monitoring and application debugging is critical. Deep expertise across application, data, security, and infrastructure disciplines Experience in setting up public cloud infrastructure using TerraForm. Experience working containerized services on Kubernetes or ECS Experience with Python, Java, and REST APIs. Solid understanding of improving and debugging backend performance bottlenecks. Experience with application production readiness, production monitoring, and production issue triaging Knowledge of industry standard software best practices, development lifecycle processes, Agile tools, methodologies, and security best practices. Strong engineering background in deploying and scaling ML and AI Models on Public cloud services. Proficiency in programming languages such as Python, Java

Preferred qualifications, capabilities, and skills

Knowledge of AWS Sagemaker and data analytics tools will be a plus.    Ability to adapt to new technologies and learn quickly in a fast-paced environment Experience with Single Sign On/OIDC integration and deep understanding of OAUTH, and JWT/JWE/JWS. IDAnywhere knowledge  Knowledge or experience with working on Azure