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

As a Software Engineer III at JPMorgan Chase within the AI/ML & Data Platform 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesAdds to 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 experienceExperience in building complex distributed systems using Java (11/17) on AWS.Knowledge of AWS products/services and Kubernetes/container technologies for specific workloads.Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS, and process orchestration.Real-world experience in building applications on AWS across multi-AZ, multi-region, and multi-cloud vendor environments.Experience in designing architectures that align with business engineering teams' needs.Excellent understanding of modern engineering practices to leverage Public Cloud benefits, such as auto-scaling, with a focus on end-to-end engineering experience supported by tooling and automation

 

Preferred qualifications, capabilities, and skills

 

Familiarity with modern front-end technologiesFamiiar with Apache Spark Structured Streaming/ Apache  Flink Exposure to cloud technologies