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
• 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 or experience with working on Azure will be a plus