Job Overview
Role: Software Systems Engineer – DevOps Location: Bangalore, Karnataka Experience: 0 – 2 Years (Freshers & Entry-Level) Qualification: B.E / B.Tech / M.E / M.Tech in Computer Science or related disciplines Key Skills: Python, Golang, Java, C, C++, Distributed Systems, Microservices, Cloud-Native Architecture, IaC, Kubernetes, Docker, CI/CD, REST/gRPC APIs
Job Description
Hewlett Packard Enterprise (HPE), a global edge-to-cloud company, is inviting applications for the position of Software Systems Engineer – DevOps for its Datacenter Networking team based in Bangalore, Karnataka. Candidates with B.E / B.Tech / M.E / M.Tech in Computer Science or related disciplines with 0 to 2 years of experience are eligible to apply. As an entry-level Software Systems Engineer, you will work within HPE's Datacenter Networking division, building cloud-native software products and scaling automation pipelines.
Roles and Responsibilities
- Software Development: Design, develop, test, and debug software features, tools, and system components for networking and enterprise infrastructure.
- Coding: Write testable, observable, and debuggable code using Python, Golang, Java, C, or C++.
- Automation & CI/CD: Develop automated test cases and integrate them into CI/CD pipelines for continuous execution.
- Microservices Development: Build software leveraging REST and gRPC based microservices APIs.
- Monitoring & UI/UX Automation: Automate UI/UX testing frameworks and monitor infrastructure metrics using OpenTelemetry or Datadog.
- Collaboration: Collaborate with cross-functional development partners and learn from architectural decision-making.
Skills and Eligibility Criteria
Educational Background: 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).
Mandatory Technical Skills:
- 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.
Competencies:
- Preferred Qualifications: 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).