Software Engineer III

5 days ago


Hyderabad, Telangana, India JPMC Candidate Experience page Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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