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

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

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Senior Lead Software Engineer - Python/React/AWS/MLOps at JPMorgan Chase within the Corporate AI/ML Data Platforms team, your role will involve building a suite of products that encompass AI/ML, ModelOps, and Agents ML data development (such as processing and data annotation) for firm-wide ML practitioners. These capabilities are pivotal to the new enterprise-scaled ML ecosystem at JPMC. You will collaborate with our highly skilled system architects, engineers, product managers, data scientists, researchers, and colleagues across all lines of businesses and functions. Your Senior Lead Engineering expertise will be integral to the AI/ML Data Platforms team as you help build products that promote AI/ML, MLOps, Agents governance, and ML data development, thereby accelerating a diverse and broad portfolio of AI/ML projects at one of the world's largest financial services firms. This is an exciting and rewarding opportunity to elevate your software engineering career. Our office culture values casualness, flexibility, learning, growth, diversity, and innovation. Joining JPMC means becoming part of a firm that will challenge you and invest in your professional development.

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. 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