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

As a Java Backend Software Engineer III at JPMorgan Chase within the Liquidity Risk Technology 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 problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages such as Java, Spark Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Ability to solve data-oriented problems using multiple relevant technologies . SQL, Relational DB, Spark, NoSQL while optimizing for performance 

Preferred qualifications, capabilities, and skills

Experience with Spark performance tuning of complex calculations on large datasets  Experience delivering production changes to complex software using Scala and Spark