
Software Engineer III
1 week ago
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
- 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
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