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# Principal Cloud Software Solutions Engineer

- **Company:** Hewlett-Packard Enterprise
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $172,000.0 - $349,000.0
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Cloud Computing, Cloud Engineering, Continuous Integration, Software Debugging, DevOps, Distributed Systems, Cloud Services, Data Streaming, Cloud Platform System, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c990d42ad27c5f52

## About the Role

* 6 + years of experience with cloud-native architectures and distributed systems.
 * Bachelor's Degree or equivalent experience.
 * Strong proficiency in Node.js for cloud development.
 * Expert-level knowledge of AWS services and cloud integration patterns.
 * Solid understanding of security best practices for cloud deployments.

Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)

## Description

* Lead cloud innovation by designing and implementing scalable solutions leveraging AWS services.
 * Drive operational excellence through automated monitoring and troubleshooting for mission-critical environments.
 * Collaborate strategically with Architecture and Product Line Management teams to validate technical risks and opportunities.
 * Accelerate delivery by implementing large-scale distributed automation solutions for dynamic operational needs.
 * Influence best practices by authoring technical documentation, including whitepapers, implementation guides, and functional specifications.
 * Ensure reliability and speed by managing, extending, and supporting CI/CD build and test environments.
 * Improve system resilience through troubleshoot-test-debug cycles and root cause analysis for defect resolution and process improvement.
 * Optimize performance and cost by streamlining cloud workflows and data flows for efficiency and scalability.


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