HPE Off Campus Drive 2026

HPE

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1 day ago

Key Responsibilities

As an entry-level Software Systems Engineer, you will work within HPE’s Datacenter Networking division. You will build cloud-native software products, scale automation pipelines using AI Co-pilots, and design software enhancements under the guidance of senior architects.
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Design, develop, test, and debug software features, tools, and system components for networking and enterprise infrastructure.
Write testable, observable, and debuggable code using Python, Golang, Java, C, or C++.
Develop automated test cases and integrate them into CI/CD pipelines for continuous execution.
Build software leveraging REST and gRPC based microservices APIs.
Automate UI/UX testing frameworks and monitor infrastructure metrics using OpenTelemetry or Datadog.
Collaborate with cross-functional development partners and learn from architectural decision-making.
Design, develop, test, and debug software features, tools, and system components for networking and enterprise infrastructure.
Write testable, observable, and debuggable code using Python, Golang, Java, C, or C++.
Develop automated test cases and integrate them into CI/CD pipelines for continuous execution.
Build software leveraging REST and gRPC based microservices APIs.
Automate UI/UX testing frameworks and monitor infrastructure metrics using OpenTelemetry or Datadog.
Collaborate with cross-functional development partners and learn from architectural decision-making.

Skills & Eligibility

Education: B.E / B.Tech / M.E / M.Tech in Computer Science, Information Technology, or a related engineering field.
Experience: 0 to 2 years of experience writing code (academic projects, internships, or professional experience count).
Strong programming skills in at least one language: Python, Golang, Java, C, or C++.
Understanding of distributed systems, microservices, cloud-native architecture, and Infrastructure as Code (IaC).
Exposure to virtual infrastructure tools like Kubernetes, KVM, Docker, OpenStack, or VMware.
Familiarity with infrastructure components like Cassandra, RabbitMQ, Elasticsearch, Prometheus, or Grafana.
Exposure to automation tooling such as Ansible, Helm, or Terraform.
Working knowledge of REST/gRPC APIs and CI/CD pipelines.
Familiarity with AI/ML frameworks like LangChain, FastAPI, SageMaker, or Vertex AI.
Exposure to Cloud Native GitOps tools (e.g., ArgoCD, Argo Workflows).
Participation in hackathons, open-source projects, or technical societies (e.g., IEEE).
Education: B.E / B.Tech / M.E / M.Tech in Computer Science, Information Technology, or a related engineering field.
Experience: 0 to 2 years of experience writing code (academic projects, internships, or professional experience count).
Strong programming skills in at least one language: Python, Golang, Java, C, or C++.
Understanding of distributed systems, microservices, cloud-native architecture, and Infrastructure as Code (IaC).
Exposure to virtual infrastructure tools like Kubernetes, KVM, Docker, OpenStack, or VMware.
Familiarity with infrastructure components like Cassandra, RabbitMQ, Elasticsearch, Prometheus, or Grafana.
Exposure to automation tooling such as Ansible, Helm, or Terraform.
Working knowledge of REST/gRPC APIs and CI/CD pipelines.
Familiarity with AI/ML frameworks like LangChain, FastAPI, SageMaker, or Vertex AI.
Exposure to Cloud Native GitOps tools (e.g., ArgoCD, Argo Workflows).
Participation in hackathons, open-source projects, or technical societies (e.g., IEEE).