Overview
Software Systems Engineer-Devops
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
What you'll do:
HPE Datacenter Networking team is looking for a Software Engineer (Entry Level / Junior) with a passion for Software Development in Cloud Native products and Distributed systems, and an eagerness to solve problems leveraging large-scale automation tools such as AI Agents and Co-pilots.
Designs, develops, troubleshoots, and debugs software programs for software enhancements and new products under the guidance of senior engineers. Contributes to software including networking, utilities, databases, and Internet-related tools, and develops an understanding of hardware/software interactions.
Contributions have visible impact on well-defined features or subcomponents of a product. Applies foundational professional knowledge and fresh ideas to solve problems of moderate scope. Learns rapidly from senior engineers and code reviews, participates in team initiatives, and grows toward owning larger components over time.
What you need to bring:
- 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) writing high-quality code in languages such as Python, Golang, Java, C, or C++.
- Foundational understanding of Distributed systems, Cloud Native software development, Microservices, and Infrastructure as Code concepts.
- Exposure to Virtual Infrastructure Management software like KVM, OpenStack, Kubernetes, or VMware through coursework, projects, or internships.
- Familiarity with one or more infrastructure components like Cassandra, RabbitMQ, Elastic Search, Docker, Prometheus, or Grafana (hands-on project experience is a plus).
- Interest in writing software with Testability, Observability, and Debuggability in mind for Cloud and On-prem solutions.
- Willingness to learn the challenges of operating large-scale software and hardware systems and contribute to solutions.
- Exposure to deployment and automation tooling such as Ansible, Helm, or Terraform (academic or personal projects acceptable).
- Ability to write code, develop automated test cases, and learn to integrate them into CI/CD pipelines for continuous execution and quality management.
- Understanding of building software leveraging REST or gRPC based APIs.
- Customer-first mindset with interest in building and automating frameworks for UI/UX using modern automation and monitoring tools.
- Attention to detail and willingness to learn monitoring infrastructure concepts such as OpenTelemetry and tools like Datadog or Signoz.
- Actively participate in design discussions, ask questions, and learn from architectural decision-making with cross-functional stakeholders.
- Collaborate well with peers and senior engineers, be receptive to feedback and mentorship, and ramp up quickly on team technologies.
- Curious to learn and stay on top of the latest technology and tooling advancements, stay humble, and contribute to solving customer problems.
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Key Skills
Related Tags
Education Requirements
- B.Tech or M.Tech in Computer Science or related major
Eligible Batch Years

Hpe
Hewlett Packard Enterprise (HPE) is a global technology company focused on enterprise IT infrastructure, hybrid cloud, and edge computing solutions. Formed in 2015 after the split of the original Hewlett-Packard Company, HPE helps organizations modernize their data centers, manage workloads across hybrid environments, and harness data for innovation. The company provides servers, storage systems, networking products, software, and services that support large-scale enterprise and government operations. HPE employs tens of thousands of people worldwide and serves customers across more than 150 countries.
A key pillar of HPE’s strategy is its edge-to-cloud platform, including the HPE GreenLake cloud service, which allows businesses to run applications and manage data across on‑premises and cloud environments through a consumption-based model. The company is also known for its Aruba networking portfolio and high-performance computing systems used in scientific research and AI workloads. In recent years, HPE has expanded its networking and AI infrastructure ambitions, including a major announced acquisition of Juniper Networks to strengthen its position in enterprise networking and AI-driven data center solutions.
Company Details
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