Lead Software Engineer- Full Stack

Position Overview

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, 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. In this role, you will be a core technical contributor responsible for implementing critical technology solutions across multiple technical domains while supporting various business functions to achieve the firm’s business objectives.

Key Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with the 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 on large data sets.
• Works with cloud enablement technologies including AWS and its various services.
• Works with different data platforms including on-premise Hadoop servers, AWS, Databricks, and Kubernetes.
• Performs unit test cases and integration testing using Java for software components.

Required Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages such as Java, J2EE, and Front End technologies (React, Angular).
• Proficiency in automation and continuous delivery methods.
• Experience with relational databases and SQL.
• Knowledge of GIT, Bitbucket, and 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 with AWS cloud and hands-on experience with various AWS services including Cloud Computing, Spring Boot, and Spring Cloud.
• Experience with the development of microservices and REST APIs.

Preferred Qualifications

• Experience in Java 8/11/17 and Object-Oriented design & analysis is a plus.
• Knowledge of the Big Data technical stack, preferably with Spark.
• Experience with Unix, shell scripts, and Python is a plus.
• Working experience with Scala and Spark is a nice-to-have skill.