JPMorgan Java Senior Lead Software Engineer - Fraud Prevention 

United States, New Jersey, Jersey City 

257808902

Job responsibilities

• Writes advanced level code in Java to build cutting edge high through put low latency engineering solutions
• 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
• 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 of applied experience
• Hands-on practical experience building low latency, high throughput server side Java based software solutions.
• Advanced in Java and related programming languages
• Experience with developing highly scalable, secure, and resilient applications utilizing Java, Spring Core, Spring Boot, REST APIs, JPA, Hibernate, Kubernetes, Docker, Swagger, and Skaffold
• Excellent understanding of security standards, such as OAuth, TLS, JWT, Kerberos etc.
• Good understanding of Domain Driven Design, microservices patterns, and modern/emerging architectures
• Expertise with AWS services, such as S3, EKS, EC2, EMR Spark, AWS Glue, SageMaker, SQS, Lambda, Cloud Formation, and Terraform
• Exposure to NoSQL databases, such as Cassandra
• Experience in Agile software development

• Proficiency with AIML Model development Familiarity with log/metric collection and monitoring technologies, such as ELK stack, Prometheus, Grafana, AppDynamics, & Splunk
• Knowledge of API management
• Experience with even driven processing utilizing Kafka