Job Description

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


As a Senior Lead Software Engineer at JPMorgan Chase within the Chief Data & Analytics Office, on the Data Governance Engineering team, you will spearhead multiple technical areas and functions, working collaboratively across diverse technical domains. Your expertise will be crucial in creating capabilities that are leveraged throughout the firm to improve client delivery and further the firm's extensive Data & Analytics strategy.

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 5+ years applied experience Hands-on experience in Java, Spring, Microservices, NoSQL, JUnit, Cucumber, AWS Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages 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 (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proficiency across the data lifecycle. Experience working at code level with Java/Spring, focusing on clean, efficient code and best practices for scalability. Experience working with Databases and ability to write SQL queries along with experience with messaging platforms.

Preferred qualifications, capabilities, and skills

AWS Solutions Architect/Developer or advanced-level certification. Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration. * Problem solver and solution oriented. Strong written and verbal communication skills. Jira and Agile practices.