JPMorgan Software Engineer III – AI/ML Data Cloud 

United Kingdom, England, London 

855523293

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
• Builds end-to-end data-intensive micro-services, including data pipelines, distributed processing and backend application development
• Designs and implements end-to-end ML engineering solutions, moving experimental models to production scale systems
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• 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
• Experience in Python or similar programming language, API and backend development
• Practical experience developing Production-scale Cloud-native AI/ML engineering systems in commercial environments
• Familiarity with Kubernetes, MLOps, Docker and Cloud ML/Data engineering services
• Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds

Preferred qualifications, capabilities, and skills

• Familiarity with AWS cloud services for Data and ML
• Experience with developing recommendation systems, NLP services, or other AI/ML systems in large corporate settings
• Prior experience collaborating with data scientists