JPMorgan Senior Lead Software Engineer 

United States, New York, New York 

127765483

As part of Personalized and Insights product within Consumer & Community Banking, we are building a ML-powered recommendation engine platform to serve personalized content on mobile, web and other channels. You'll get to work on a consumer-facing product that uses high TPS micro-services, large streaming data, bandit and neural-network based recommendation algorithms, batch and real-time serving ML models and much more

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• 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 software development experience in an Object-Oriented programming language (such as Java, C++, Python) and SQL.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• High throughput, low latency micro-service development using AWS services such EKS, ECS Fargate, ELB, etc.,
• High throughput near real-time event processing using Kafka, Kinesis, Flink, EKS etc., & High-volume feature engineering with services such as EMR.
• Solid understanding of agile methodologies and knowledge of SDLC including CI/CD, Application Resiliency, and Security.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Deep knowledge of Java and Software design patterns
• Solid cloud computing knowledge, specially ECS, EKS, Databases, Object Stores, Authn/z
• Operational experience with events processing systems built using Kafka, Flink etc
• Experience with docker and container orchestration systems
• Experience building ETL pipelines and data engineering
• Knowledge of Python and AI/ML