Responsible for designing and delivering AI-powered applications, optimizing performance, and managing cloud infrastructure. Requires expert Python skills and AWS experience.
Job Description
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
Required qualifications, capabilities, and skills
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
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
Top Skills
A2A Protocols
AWS
Ci/Cd
Docker
Ecs
Java
Lambda
Python
Terraform
Websockets
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