Bring your Senior Lead Engineering expertise to be an integral part of the AI/ ML Data Platforms team to build products that drives ML - Ops, automated governance and ML data development to accelerate a diverse and broad portfolio of AI/ ML projects in one of the largest financial services firms in the world. 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 at JPMorgan Chase within the Corporate A... more details
Bring your Senior Lead Engineering expertise to be an integral part of the AI/ML Data Platforms team to build products that drives MLOps, automated governance and ML data development to accelerate a diverse and broad portfolio of AI/ML projects in one of the largest financial services firms in the world. 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 at JPMorgan Chase within the Corporate AI/ML Data Platforms team, your role will involve the development of a range of products that encompass MLOps, ModelOps, and ML data development, such as processing and data annotation, for firm-wide ML practitioners. These capabilities are integral to the newly established enterprise-scaled ML ecosystem at JPMC. You will have the opportunity to collaborate with our highly skilled system architects, engineers, product managers, data scientists, researchers, and colleagues across all lines of businesses and functions.
Job responsibilities
Works on several new systems including model repository/registry, feature registry, automatic model promotion policy engine, model & 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
Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
Adds to the team culture of diversity, equity, inclusion, and respect.
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
Hands -on experience building scalable applications using Python, or some comparable languages like Java, or NodeJS etc.
Experience in modern architecture patterns (e.g. microservices, reactive architectures, event-driven architectures)
Experience working with HTML/ CSS and at least 1 modern JavaScript framework such as React.js, Vue.js, Hapi.js, Ember.js, Angular.js
Experience in writing and utilizing RESTful API services and performance tuning large scale applications.
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
Preferred qualifications, capabilities, and skills
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