Senior Software Engineer - Python, Data, AI/ML, Cloud

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 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, OpenSearch and vector databases   
• Prior experience collaborating with data scientists 

Experience Level

Senior Level