JPMorgan Senior Lead Software Engineer - Python/React/AWS/MLOps 

United States, New Jersey, Jersey City 

164487504

Job responsibilities

• Works on several new systems including model repository/registry, feature registry, automatic model promotion Policy Engine, Models, Agents & GenAI governance tools, data annotation, data preparation and lineage to help accelerate AI/ML in JPMC with the best user experience and sound governance.
• Drives decisions that influence the product design, application functionality, and technical operations and processes.
• Develop new products leveraging cloud technologies and microservices architecture patterns, identify new open-source libraries, using unfamiliar technologies and learning new programming languages to meet technical requirements.
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Work with system architects and contribute to the architecture across the technology stack from database to native apps.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Create rapid prototypes as well as full-scale applications, by working collaboratively and iteratively through design and development to deliver fully functional applications that meet business goals.
• Serves as a function-wide subject matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on on technical individual contribution experience on software development projects
• Experience building scalable applications using Python and/or Java, RESTful and GraphQL API services and performance tning large scale applications
• Solid understanding of fundamental data structures including arrays, linked lists, stacks, queues, trees, graphs, and hash tables.
• Ability to design, analyze, and implement algorithms, with a focus on sorting and searching techniques.
• Experience in modern architecture patterns (e.g. microservices, reactive architectures, event-driven architectures)
• Experience working with HTML/ CSS and React.js
• Experience with cloud providers (e.g. AWS, Azure, GCP) and containerization (e.g. Docker, Kubernetes)
• Experience with relational and non-relational databases (e.g. PostgreSQL, MongoDB, CouchDB, Redis, Elasticsearch, Cassandra, etc.)
• Expert in data modeling, ETL design, data lineage management and data governance for both traditional SQL and Big Data infrastructure
• Experience in engineering practices such as code refactoring, design patterns, design-driven development, TDD, CI/CD, building highly scalable applications, application security; Expertise in large-scale enterprise architecture and cloud-based (e.g., e.g. AWS, Azure, GCP) solutions; Experience/Knowledge of model governance, data governance

Preferred qualifications, capabilities, and skills

• Experience with modern full-stack technologies
• Experience with cloud technologies