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

As an AWS Software Engineer III, Java, Machine Learning at JPMorgan Chase within the Consumer and Community Banking, Model Delivery as a Service team,  you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using Java programming languages  Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Leverages Cloud services to build ML pipeline to implement, deploy and deliver ML Models Works with Business stakeholders and Product Owners to understand requirements. Works with SRE for any infrastructure/production changes. Adds to team culture of diversity, equality, inclusion, and respect.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Experience in Java programming language. Hands-on practical experience on Kubernetes, Kafka. Understanding of and ability to learn the basic architecture of Cloud services and usage. Background with Machine Learning Frameworks. Experience working with databases such as Oracle or Cassandra. Exposure to Agile and scrum methodologies. Familiarity with CI/CD, Application Resiliency, and Security. Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics. Hands-on experience using AWS cloud technologies

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies Hands-on experience using Python programming language Exposure to cloud technologies