Table of Contents – HPE Software Systems Engineer-DevOps Recruitment
HPE Software Systems Engineer-DevOps | Bengaluru Recruitment 2026
Hewlett Packard Enterprise (HPE) is hiring Software Systems Engineer-DevOps (Entry Level / Junior) in Bengaluru for the Datacenter Networking team.
🔥 Key Highlights
- Company: Hewlett Packard Enterprise (HPE)
- Job Title: Software Systems Engineer-DevOps
- Location: Bengaluru, Karnataka (Onsite)
- Experience: 0 – 2 Years
- Category: Engineering & QA
- Work Mode: Onsite (HPE Office)
HPE Software Systems Engineer-DevOps Recruitment 2026 Quick Summary
| Company | Hewlett Packard Enterprise (HPE) |
| Position | Software Systems Engineer-DevOps |
| Location | Bengaluru, Karnataka |
| Experience | 0 – 2 Years |
| Work Mode | Onsite |
| Category | Engineering & QA |
HPE Software Systems Engineer-DevOps Recruitment 2026 Overview
Hewlett Packard Enterprise (HPE) is recruiting Software Systems Engineer-DevOps professionals for its Datacenter Networking team in Bengaluru. This opportunity is suitable for fresh graduates and candidates with up to two years of experience who are interested in Cloud Native technologies, DevOps, distributed systems, and automation.
Why Join HPE?
- Global technology company
- Work on Cloud Native platforms
- Latest AI and automation technologies
- Learning and certification opportunities
- Collaborative engineering teams
- Career growth for fresh graduates
- Exposure to enterprise-scale projects
- Modern software development practices
Job Responsibilities
- Design, develop, troubleshoot, and debug software programs for enhancements and new products under senior engineers’ guidance
- Contribute to networking, utilities, databases, and Internet-related tools
- Develop understanding of hardware/software interactions
- Work on Cloud Native products and Distributed systems
- Leverage large-scale automation tools such as AI Agents and Co-pilots
- Participate in team initiatives and grow toward owning larger components
Eligibility Criteria
- Required Qualifications:
- B.Tech or M.Tech in Computer Science or related major
- 0–2 years of hands-on experience (including internships, co-ops, or academic projects)
- High-quality code in Python, Golang, Java, C, or C++
- Foundational understanding of Distributed systems, Cloud Native, Microservices, and Infrastructure as Code
- Exposure to KVM, OpenStack, Kubernetes, or VMware
- Familiarity with Cassandra, RabbitMQ, Elastic Search, Docker, Prometheus, or Grafana
- Exposure to Ansible, Helm, or Terraform
- Understanding of REST or gRPC based APIs
- Interest in Testability, Observability, and Debuggability
- Preferred Qualifications:
- Familiarity with AI/ML and AI Agentic frameworks (LangChain, FastAPI)
- Exposure to AIOps/MLOps tools (SageMaker, Databricks, Vertex AI, etc.)
- Exposure to Cloud Native GitOps tools (ArgoCD, Argo Workflow)
- Academic publications, hackathon participation, or open-source contributions
Technical Skills Required
- Python / Golang / Java / C / C++
- Kubernetes
- Docker
- Terraform
- Ansible
- Cloud Native Architecture
- Microservices
- REST & gRPC APIs
- Distributed Systems
- GitOps Tools
Employee Benefits
- Professional development programs
- Global engineering environment
- Hands-on experience with modern technologies
- Collaborative workplace
- Learning and certification opportunities
- Career advancement support
Career Growth Opportunities
This role provides opportunities to build expertise in DevOps, Cloud Native technologies, automation, distributed systems, AI-powered engineering tools, and enterprise software development, helping candidates progress toward senior engineering positions.
How to Apply
- Apply through the official HPE career portal
- Location: Bengaluru (Onsite – HPE Office)
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HPE Software Systems Engineer-DevOps FAQ
Q: What is the experience required?
A: 0 – 2 Years (Entry Level / Junior)
Q: What is the work location?
A: Bengaluru (Onsite – HPE Office)
Q: Is this a remote role?
A: No, designed as Onsite
Q: What skills are preferred?
A: Python, Golang, Kubernetes, Cloud Native, Ansible, Terraform, AI/ML frameworks
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