Software Engineer III Python, Data, AIML, Cloud

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 the Commercial & Investment Bank 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 firms business objectives.

Job responsibilities

• Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification onsoftware engineeringconcepts and 3 years proficient applied experience
• Hands-on practical experience in system design application development testing and operational stability
• Proficient in coding in one or more languages (Python preferably)
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Proven track record in system design architecting and developing microservices distributed systems and data-intensive applications
• Experience with Cloud services Infrastructure as Code containerized application development big data and modern data engineering technologies
• Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
• Familiarity with Cloud Data engineering services (e.g. ETL Glue S3 Athena) and MLOps
• Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds

Preferred qualifications capabilities and skills

• Experience with data AWS and AIML engineering in commercial settings
• Experience working on Production scale AI/ML systems
• Practical experience with Kubernetes EKS Docker Terraform MLOps
• Prior exposure to LLMs RAG OpenSearch and vector databases
• Prior experience collaborating with data scientists