Senior Software Engineer

Senior Software Engineer

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you.

What you’ll do

• Design, develop, and maintain enhancements, features, and integrations for storage ecosystem software, including:Kubernetes CSI Drivers storage integrations Storage automation frameworks Cloud-native plugins and operators Virtualization and container ecosystem integrations REST APIs, SDKs, and management services
• Analyze solution requirements and architecture to determine design, coding, testing, and integration activities.
• Develop scalable, secure, and highly available software solutions using modern software engineering practices.
• Write, review, and maintain unit, integration, functional, and automation tests; identify root causes and resolve software defects.
• Participate in architecture reviews, design discussions, code reviews, and technical decision-making processes.
• Lead feature development efforts and collaborate with internal teams, open-source communities, and external partners.
• Drive software quality, CI/CD adoption, observability, automation, and operational excellence initiatives.
• Collaborate with product management, system architects, QA, DevOps, and support teams throughout the software lifecycle.
• Mentor junior engineers and provide technical leadership within project teams.
• Leverage AI-assisted development tools and automation to improve engineering productivity, code quality, testing efficiency, and troubleshooting effectiveness.

What you need to bring: Education and Experience Required

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or equivalent.
• Typically 5+ years of software development experience in enterprise or cloud-native environments.
• Experience contributing to open-source projects is desirable.

Knowledge and Skills Core Development Skills

• Strong software development experience in:Golang (Must), Python & Java (Preferred)
• Strong understanding of:Object-oriented design Distributed systems Microservices architecture RESTful APIs Event-driven architectures

Cloud-Native & Ecosystem Technologies

• Kubernetes ecosystem development, including:CSI Drivers Operators Custom Resource Definitions (CRDs) Kubernetes APIs
• OpenStack ecosystem knowledge, particularly storage-related services.
• Container technologies:Docker Podman OCI containers
• CI/CD and DevOps practices:GitHub Actions Jenkins GitLab CI Automated testing and release pipelines

Storage Domain Expertise (Preferred)

• Enterprise block, file, and object storage concepts.
• Storage protocols and technologies:iSCSI Fibre Channel NVMe/TCP NFS SMB
• Experience with storage management platforms, data services, and high-availability architectures.

AI-Assisted Software Engineering Skills

• Effective use of AI coding assistants and productivity tools such as:GitHub Copilot Microsoft Copilot AI-assisted code review tools
• Experience applying Generative AI for:Code generation Unit test generation Documentation creation Root cause analysis Operational troubleshooting
• Understanding of:LLM concepts and prompt engineering AI-driven software development workflows AI-assisted DevOps and automation practices

Engineering Excellence

• Software testing methodologies, including unit, integration, system, regression, and automation testing.
• Strong debugging, performance analysis, and troubleshooting skills.
• Excellent analytical and problem-solving capabilities.
• Strong written and verbal communication skills with the ability to explain technical designs, architecture decisions, and trade-offs to engineering and leadership teams.
• Ability to work effectively in global, cross-functional, and open-source collaboration environments.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate indi