Description
Hewlett Packard Enterprise is seeking a Solutions Engineer to design, develop, integrate, validate, and support enterprise solutions involving HPE hardware and software platforms. The ideal candidate will work independently with minimal guidance, drive technical solution development and validation, and collaborate closely with customers, partners, and cross-functional engineering teams through solution deployment and adoption.
Responsibilities:
- Design, develop, and integrate end-to-end solutions leveraging HPE compute, storage, networking, and software platforms.
- Build and validate reference architectures, ensuring interoperability across infrastructure and application stacks.
- Perform solution testing and troubleshooting.
- Develop Proof of Concepts (PoCs), demonstrations, and technical validations for customer use cases.
- Collaborate with product engineering and cross-functional teams to address integration challenges and enhance solution capabilities.
- Develop and maintain automation frameworks using Infrastructure-as-Code (IaC).
- Create custom tools, scripts, and integrations using Python.
- Integrate HPE infrastructure and software products with other enterprise systems through APIs and automation workflows, to address customer requirements.
- Deploy, manage, and troubleshoot Kubernetes clusters and containerized workloads.
- Implement cloud-native solutions, including orchestration, networking, storage, and security integrations.
- Act as a technical advisor during customer engagements, workshops, solution reviews, and architecture discussions.
- Gather customer requirements and translate business needs into technical solutions.
- Deliver technical presentations, demonstrations, and hands-on workshops for customers and partners.
- Provide advanced technical support during solution deployment, integration, and post-production phases.
- Troubleshoot complex customer issues and drive root-cause analysis to resolution.
- Collaborate with sales, pre-sales, product teams, and customer stakeholders to ensure successful solution adoption and customer satisfaction.
- Develop deployment guides, best practices, architecture documents, and technical reports.
- Document solution designs, test results, and operational procedures.
- Contribute to knowledge bases and mentor team members on emerging technologies and solution architectures.
Education and Experience Required:
- Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
- Typically 6-10 years experience.
Mandatory Skills:
- Strong experience in Python-based automation and scripting.
- Hands-on experience in developing and integrating RESTful APIs and web services.
- Experience in developing scalable, maintainable automation solutions using Python and REST APIs.
- Hands-on experience in Kubernetes cluster deployment and configuration.
- Strong understanding of container orchestration and workload management.
- Good knowledge of Kubernetes networking, storage, security, and troubleshooting.
Preferred Skills:
- Experience with HPE Compute, Storage, Networking, and GreenLake solutions, or equivalent infrastructure platforms.
- Understanding of infrastructure automation, provisioning, and lifecycle management.
- Experience with virtualization and container platforms, including SUSE Rancher/RKE2 and Red Hat OpenShift.
- Exposure to Cloud Management Platforms (CMP) and cloud infrastructure management solutions.
- Familiarity with monitoring and observability solutions, such as Prometheus, Grafana, and Loki.
What We Can Offer You:
- Health & Wellbeing: comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Personal & Professional Development: investment in your career with programs to help you reach your career goals.
- Unconditional Inclusion: inclusive and diverse workplace that values individual uniqueness.