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JPMorgan Senior Lead Software Engineer - Data Platforms/LLMs 
United States, Delaware, Wilmington 
871294641

08.09.2024

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