Software Engineer III - Python, AWS, Gen AI

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorganChase within the AI/ML & Data platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Design, develop, and maintain AI-powered applications using Python and Java backend services.
• Implement generative AI solutions and applied AI models for various business use cases across the organization.
• Build real-time communication systems utilizing WebSockets and A2A protocols for efficient data exchange.
• Deploy and manage containerized applications with Docker, orchestrating services through AWS ECS and Lambda functions.
• Use Terraform to implement infrastructure as code for scalable and reliable cloud deployments.
• Collaborate with cross-functional teams to integrate AI capabilities into existing business processes.
• Optimize application performance, ensure security compliance, and maintain code quality through testing, documentation, and peer reviews.

Required qualifications, capabilities, and skills

• Formal training or certification on Software engineering concepts and 3+ years applied experience
• Expert-level proficiency in Python programming and its ecosystem.
• Practical experience implementing generative AI and applied AI solutions.
• Familiarity with Agentic frameworks such as LangGraph, Google ADK, and AutoGen.
• Proficient in AWS services, including ECS and Lambda, and containerization with Docker.
• Skilled in infrastructure as code using Terraform, microservices architecture, distributed systems, version control, and CI/CD pipelines.

Preferred qualifications, capabilities, and skills

• Master's degree in Computer Science, Machine Learning, or related field
• Knowledge of vector databases and embedding technologies
• Experience with additional AWS services including S3, RDS, and CloudFormation
• Familiarity with Kubernetes for container orchestration
• Experience with monitoring and observability tools