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# Lead Software Engineer - Cloud

- **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, Amazon Elastic Compute Cloud, Amazon S3, Automation of Tests, Cloud Computing, Software Quality, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Software Tools, Software Engineering, Data Processing, Cloud Platform System, Electronic Medical Records, Production Code, Data Management, Terraform, Docker
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/lead-software-engineer-cloud-houston-tx-usa-58871751

## About the Role

to cloud and AWS * Build and enhance ETL and event-driven data processing capabilities to improve throughput and observability * Align with product, data, and engineering stakeholders on outcomes, plans, and success criteria * Improve engineering excellence through code quality, automated testing, reviews, documentation, and operational readiness * Mentor engineers and foster a collaborative culture focused on learning and improvement * Drive adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed while ensuring validation standards Tasks * Formal training or certification on software engineering concepts and 5+ years applied experience * Hands-on system design, application development, testing, and operational stability in large-scale environments * Proficiency in Python or Java and production-grade code maintenance * Experience building data processing solutions including ETL lifecycle management * Hands-on experience with AWS services and aaa

* delivery practices including Terraform and services like S3, EC2, EMR * Experience with Docker and Kubernetes * Strong understanding of Agile software delivery * Experience leading AI-assisted software development tools with success in validating outputs for correctness, performance, and security * Knowledge of secure, compliant engineering practices and responsible AI use in workflows Key requirements * base salary * bonus or commission potential * comprehensive health care * retirement savings plan * tuition reimbursement * mental health support

## Description

Experteer Overview As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will drive end-to-end delivery of modern data solutions and platform modernization across private cloud and AWS. You will partner with tech and business stakeholders to solve complex data processing problems with scalable, reliable software. You will shape architecture across application, data, and infrastructure layers and elevate engineering practices to improve quality and delivery velocity. This role offers the chance to influence data platforms at scale and to advance cloud-native adoption in a large, security-conscious environment. Compensation / Benefits * Lead design and delivery of data processing solutions, translating requirements into secure, scalable software * Drive architecture decisions across application, data, and infrastructure layers to improve performance, reliability, and extensibility * Modernize workloads and pipelines, accelerating cloud-native adoption across private cloud and AWS * Build and enhance ETL and event-driven data processing capabilities to improve throughput and observability * Align with product, data, and engineering stakeholders on outcomes, plans, and success criteria * Improve engineering excellence through code quality, automated testing, reviews, documentation, and operational readiness * Mentor engineers and foster a collaborative culture focused on learning and improvement * Drive adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed while ensuring validation standards Tasks * Formal training or certification on software engineering concepts and 5+ years applied experience * Hands-on system design, application development, testing, and operational stability in large-scale environments * Proficiency in Python or Java and production-grade code maintenance * Experience building data processing solutions including ETL lifecycle management * Hands-on experience with AWS services and cloud delivery practices including Terraform and services like S3, EC2, EMR * Experience with Docker and Kubernetes * Strong understanding of Agile software delivery * Experience leading AI-assisted software development tools with success in validating outputs for correctness, performance, and security * Knowledge of secure, compliant engineering practices and responsible AI use in workflows Key requirements * base salary * bonus or commission potential * comprehensive health care * retirement savings plan * tuition reimbursement * mental health support


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