Senior Software Engineer

Senior Software EngineerThis 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:

We are seeking a highly skilled Senior Software Engineer with experience in software development, test automation, Linux-based platforms, and cloud-native technologies. The role involves designing, developing, testing, debugging, and automating solutions across the software development lifecycle.

The ideal candidate will have strong programming skills, a quality-first mindset, and hands-on experience leveraging AI-assisted tools throughout the SDLC to improve engineering productivity and software quality. Experience with OpenStack, Kubernetes, OpenShift, storage technologies, and CI/CD practices is desirable.

Responsibilities:

• Design, develop, maintain, and enhance software components and automation solutions.
• Develop automated tests covering unit, integration, system, regression, and performance validation.
• Analyze requirements, participate in design discussions, code reviews, and technical problem-solving.
• Debug and resolve software defects across development, test, and customer environments.
• Build tools, utilities, and test frameworks to improve quality and engineering efficiency.
• Collaborate with developers, architects, quality engineers, and support teams to deliver high-quality solutions.
• Contribute to CI/CD, automation, and continuous improvement initiatives.
• Create and maintain technical documentation, test plans, and deployment guides.

What you need to bring:

Education and Experience Required:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in software development, test automation, validation, or platform engineering.
• Experience working in Agile development environments.

Desired Candidate Profile

• Strong developer with a quality and automation mindset.
• Comfortable working across both development and validation activities.
• Demonstrated adoption of AI-assisted engineering practices.
• Self-driven, collaborative, and focused on continuous improvement.

Knowledge and Skills:

• Strong software development and debugging skills.
• Proficiency in Python and/or Golang, with solid Object-Oriented Programming (OOP) fundamentals.
• Experience with test automation and validation methodologies.
• Strong Linux administration and troubleshooting skills.
• Understanding of distributed systems, REST APIs, containers, and cloud-native architectures.
• Familiarity with Git-based development workflows.
• Strong analytical, problem-solving, and communication skills.

AI in SDLC

• Demonstrated experience using AI-assisted engineering tools (e.g., GitHub Copilot, ChatGPT, or equivalent) as part of daily software development activities.
• Ability to leverage AI tools for:
  • Requirements analysis and solution design
  • Code development and review
  • Test case creation and automation
  • Debugging and root cause analysis
  • Documentation generation and maintenance
  • Productivity improvement and knowledge management
• Proven mindset of incorporating AI to accelerate delivery while maintaining software quality and engineering standards.

Preferred Skills

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