Software Engineer III - Python, AWS,Terraform,LLM,GenAI

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

As a Software Engineer III - Python Developer + AWS at JPMorgan Chase within the Commercial & Investment Bank , you'll 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. You'll drive innovation by leading cutting-edge GenAI applications, such as search tools, chatbots, and AI agents to solve complex challenges in Global bank financial services and collaborate with a forward-thinking team to enhance global business operations and technology solutions.  

Job responsibilities

• Contribute towards end-to-end development and deployment of GenAI-powered applications (Search, Chatbots, Agents).
• Leverage expertise in AI, NLP, LLM and deep learning to improve business outcomes and processes. 
• Design enterprise-level solutions for LLM and GenAI use cases on cloud platforms like AWS/Azure.
• Drive development, testing, deployment, monitoring, and continuous operations for cloud-based high-performant, high-volume applications.
• Implement innovative software solutions and troubleshoot complex problems beyond routine methodologies.
• Utilize tools like Terraform IaC, Splunk, Dynatrace, Grafana, Prometheus and Datadog to build scalable and maintainable systems.
• Optimize system architecture, operational stability, coding hygiene, and troubleshooting workflows.
• Advance production engineering and automation practices.
• Contribute to engineering communities, fostering a culture of innovation, diversity, and inclusion.
• Contribute to SRE / Production support activities.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong hands-on expertise in system design, application development, debugging, fine-tuning and operational support.
• Deep knowledge of Python (including frameworks like FastAPI), microservices architecture, and APIs.
• Hands-on experience with AWS services such as EC2, ECS, EKS, Lambda, DynamoDB, RDS (Aurora/Postgres), Redshift, EMR, OpenSearch, Stepfunctions and Kinesis.
• Experience designing cloud-ready solutions and developing strategies for GenAI and LLM-specific applications.
• Strong skills in SQL, relational databases, and data modeling (e.g., Aurora RDS, DynamoDB, RDS).
• Solid grasp of CI/CD, Agile development, application resiliency, and security best practices.
• Experience working with back-end technologies, containerization (Docker, ECS, EKS), and GenAI agentic frameworks.
• Ability to solve complex design and functionality challenges independently.

• Excellent communication and interpersonal skills for collaborating within and across teams.

   

Preferred qualifications, capabilities, and skills

• This role is ideal for candidates with deep technical expertise, a passion for AI/ML-driven solutions, and a desire to push the boundaries of innovation in banking and financial services.
• Deep understanding of LLM and GenAI concepts and implementations.
• Familiarity with Jupyter model training environment.
• Familiarity with software development life cycle (SDLC) and enterprise-level application architectures.
• Experience in Spinnaker