Software Engineer III- Python,Java,AWS

Job Overview

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 JPMorgan Chase within Consumer and Community Banking, 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 and deliver scalable, reliable solutions and AI workflows; perform analysis and derive insights to optimize business outcomes.
• Communicate designs, trade-offs, and results clearly to both technical and non-technical stakeholders.
• Build and operate on AWS using services such as S3, RDS, Lambda, Redshift, Athena, Step Functions, MSK, ECS, RDS and EKS  architectures.
• Collaborate closely with data scientists, engineers, and business partners to deliver high-quality, production-grade solutions.
• Take end-to-end ownership of deliverables; work independently to drive assignments to completion without unnecessary escalation.
• Operate as a Python-first engineer with Java skillset—able to read, debug, maintain, and enhance Java-based services and integrations supporting the platform.

Required Qualifications, Capabilities, and Skills

• Advanced degree in Computer Science or related field.
• Strong Python skills for AI/data processing and production engineering (performance, reliability, testing, and maintainability).
• Proficiency with GenAI models (e.g., OpenAI) to solve business problems.
• Experience with LLM orchestration, AI usage patterns, agentic frameworks, and MCP servers.
• Strong problem-solving and troubleshooting skills, clear stakeholder communication, rapid POC-to-production execution, and mentoring/coaching ability.

Preferred Qualifications, Capabilities, and Skills

• Proficiency in all other AWS components—preferably AWS certified.
• Experience integrating AI/ML models into data pipelines is a plus.
• Experience with version control (Git) and CI/CD pipelines.