Private Cloud/AI System Integration Engineer
This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
:
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 motivated and detail-oriented Early Career System Integration Engineer to join our team. This is a great opportunity to work on real-world cloud and AI integration projects, gain hands-on experience, and grow into a technical leader. You will:
- Collaborate with senior engineers and cross-functional teams to help design, test, and deliver integrated systems that support innovative solutions.
- Bring technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing HPE Private Cloud solutions.
What you need to bring:
- Collaborate with senior engineers and cross-functional teams to help design, test, and deliver integrated systems that support innovative solutions for private cloud environments.
- Assist in the design, testing, and deployment of system integration solutions for private cloud environments.
- Work with software and hardware teams to ensure components integrate smoothly.
- Contribute to software development of automation and deployment workflows for HPE Private Cloud programs
- Participate in troubleshooting and resolving integration issues under guidance.
- Help document best practices, workflows, and use tools such as Jira and Confluence for project tracking and collaboration.
- Learn and apply concepts related to system security, scalability, and performance.
- Stay informed on industry trends in private cloud, virtualization, and AI technologies.
Qualifications:
- Bachelor s degree in Computer Science, Engineering, or a related technical field (or currently pursuing and near completion).
- Typically, 0-2 years experience.
- Some experience through coursework, internships, or personal projects in system integration, cloud, or software development.
- Programming skills in Python, Golang, or Java.
- Strong experience in DevOps and CI/CD
- Understanding of basic testing, coding, and debugging procedures.
- Ability to quickly learn new skills and technologies and work well with other team members.
- Good written and verbal communication skills.
- Familiarity with virtualization concepts and/or basic cloud technologies.
- Strong problem-solving mindset and eagerness to learn new tools and technologies.
- Effective communication and teamwork skills.
Nice to Have (Preferred Skills):
- Familiarity with HPE Morpheus Enterprise software
- Familiarity with APIs, scripting, or system automation tools (e.g., Airflow, Ansible, etc.).
- Understanding of networking fundamentals (e.g., IP addressing, subnets, basic routing).
- Exposure to infrastructure concepts: storage, compute, or cloud networking.
- Understanding DevOps practices like continuous integration/continuous deployment (CI/CD)
- Awareness of industry compliance or security standards is a plus.
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)
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