Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology organization, you are an essential member of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Implements statistical algorithms in Scala and Java within large data sets
• Works with cloud enablement technologies including AWS & its various services
• Works with different data platforms including on premise Hadoop servers, AWS, Databricks and Kubernetes
• Performing unit test cases and integration testing using java for software components
   

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced hands-on coding experience in Java, J2EE, Front End (React, Angular) based technical skills
• Proficiency in automation and continuous delivery methods
• Experience with Relational Databases & SQL
• Knowledge of GIT, bitbucket, Maven
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical cloud native experience - AWS cloud with hands-on various AWS services (Cloud Computing, Spring boot, Spring Cloud)

• Experience with development of microservices and REST API

• Experience in Java 8/11/17, Object-Oriented design & analysis
•  Knowledge on Big Data technical stack preferably with spark
• Experience with Unix, shell scripts, python 
• Working experience on Scala & Spark