Software Engineer II - Python, AWS

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 II at JPMorgan Chase within the Asset & Wealth Management, 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

• Serves as a subject matter expert in AI-driven software engineering, providing deep technical expertise and guidance on complex topics.
• Advises and support teams to execute department and project goals, coordinating efforts across multiple departments and stakeholders.
• Leads the design, architecture, and implementation of LLM-driven agent services for design, code generation, documentation, test creation, and observability on AWS.
• Architects and develop advanced orchestration and communication layers between agents using frameworks such as A2A SDK, LangGraph, or AutoGen.
• Integrates AI agents with toolchains including Jira, Bitbucket, GitHub, Terraform, and monitoring platforms.
• Identifies gaps in information, analyze complex problems, and act as a preliminary escalation point for technical and project issues.
• Plans and organize own work and, where applicable, manage and plan the work of others to ensure alignment with team and department priorities.
• Collaborates on system design, SDK development, and data pipelines supporting agent intelligence.
• Ensures adherence to best practices, security, and compliance standards throughout the development lifecycle.
• Mentors and provide technical leadership to engineers, fostering knowledge sharing and professional growth.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Experience in software engineering with a focus on AI technologies.
• Complete understanding of software engineering methods, systems, and procedures; recognized as a subject matter expert in relevant technical domains.
• Strong hands-on skills in Python with experience in frameworks such as FastAPI and Pydantic.
• Experience deploying and managing applications on AWS, including ECS and EKS.
• Extensive experience with LLM integration, prompt/context engineering, and AI agent frameworks such as Langchain/LangGraph, Autogen, MCPs, and A2A.
• Solid understanding of CI/CD, Terraform, Kubernetes, Docker, and APIs.
• Familiarity with observability and monitoring platforms.
• Strong analytical and problem-solving mindset, with the ability to identify and resolve complex issues.
• Demonstrated ability to plan and organize work, coordinate across teams, and act as an escalation point for technical challenges.

Preferred qualifications, capabilities, and skills

• Familiarity with Retrieval-Augmented Generation (RAG) and Knowledge-Augmented Generation (KAG) techniques.
• Experience with Azure or Google Cloud Platform (GCP).
• Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.