Lead Software Engineer - Java, Cloud, Big data

Be an integral part of a highly collaborative agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. 

As a Lead Software Engineer at JPMorgan Chase within the Technology division, you will be an integral part of a highly collaborative agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. You will have the opportunity to build and support high throughput, low latency applications leveraging state-of-the-art machine learning architectures deployed in AWS. You will design and develop secure and scalable microservices, review and debug code, and create architecture and design artifacts for complex components. Collaborate with a global and diverse team, and communicate with users, product partners, and developers to gather requirements, design, implement, and support our platform.

• Job Responsibilities
•     You will build and support high throughput, low latency applications which leverage state of the art machine learning architectures, and which are deployed in AWS.
•     You will design and develop secure and scalable microservices; review and debug code written by others.
•     You will create architecture and design artifacts for complex components
•     You will collaborate as part of a global and diverse team 
•     You will communicate with users, product partners and developers to gather requirements, design, implement and support our platform.

Required qualifications, capabilities and skills
•    Formal training or certification on Java concepts and 5+ years applied experience.
•    10+ years hands-on software development experience in Java.
•    Hands-on practical experience in system design, application development, testing, and operational stability.
•    Experience in developing highly scalable micro-services based applications.
•    In-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
•    Experience with Source Code Control Systems such as Git, bitbucket, svn, etc.
•    Experienced in agile methodologies.

• Preferred qualifications, capabilities and skills
•     Hands on experience in high throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB etc.
•     Hands on experience in high throughput near real time stream processing with services such Kafka, Kinesis, Flink, ECS, EKS etc.
•     Hands on experience in high volume feature engineering with services such as EMR. Spark and databases such as cassandra
•     Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc.
•     Proficiency with relational DBs, SQL, RDS.
•     Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud.
•     Experience with recommendation and personalization systems.