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.