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 firm's 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 on software engineering concepts 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, Open Search and vector databases

• Prior experience collaborating with data scientists