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# Lead Software Engineer - Full Stack/Java/React/Cloud Services

- **Company:** JPMorgan Chase & Co.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Unit Testing, Big Data, Unix, Cloud Computing, Software Quality, Code Review, Continuous Delivery, Continuous Integration, Relational Databases, Java Platform Enterprise Edition (J2EE), Apache Hadoop, Python (Programming Language), Machine Learning, Apache Maven, Object-Oriented Software Development, Software Tools, Cloud Services, Secure Coding, Shell Script, Software Engineering, Software Systems, SQL Databases, Strategies of Testing, Spring Cloud, ReactJS, Apache Spark, Spring-boot, Git, AngularJS, Integration Tests, Kubernetes, Production Code, Bitbucket, Data Management, Front End Software Development, Restful APIs, Code Restructuring, Network Server, Databricks, Programming Languages, Microservices
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6a2d2cdcf38493a9

## About the Role

* 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 in one or more programming language(s)- 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, and experience with development of microservices and REST API
 * Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
 * Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
 * 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 in Java 8/11/17, Object-Oriented design & analysis is a plus
 * Knowledge on Big Data technical stack preferably with spark
 * Experience with Unix, shell scripts, python is a plus
 * Working experience on Scala & Spark is a nice to have skill

## Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible., * 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, java on large data sets
 * Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
 * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
 * 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


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