Software Systems Engineer - DevOps
Company: Hewlett Packard Enterprise (HPE)
Job Overview
- Location: Bengaluru, Hyderabad, (Onsite)
- Category: Engineering & QA
- Job Level: TCP_02
- Team: Datacenter Networking Team
About the Role
Hewlett Packard Enterprise is seeking a passionate entry-level or junior Software Engineer for its Datacenter Networking team in Bengaluru. If you have a passion for software development in cloud-native products and distributed systems—and an eagerness to solve problems using large-scale automation tools like AI agents and co-pilots—this role provides an exceptional platform to launch your engineering career.
Key Responsibilities
- Software Development: Design, develop, troubleshoot, and debug software features for cloud-native networking products under senior mentorship.
- Automation & CI/CD: Write code, build automated test cases, and integrate them into CI/CD pipelines for continuous execution and quality management.
- Collaboration: Participate in design discussions, learn from architectural decision-making, and collaborate with cross-functional stakeholders.
- Modern Tooling Integration: Leverage large-scale automation tooling, AI agents, and monitoring frameworks (OpenTelemetry, Datadog/SigNoz) to ensure high testability, observability, and debuggability.
Candidate Requirements
Required Qualifications
- Education: B.Tech or M.Tech in Computer Science or a related major.
- Experience: 0–2 years of hands-on experience writing high-quality code in Python, Golang, Java, C, or C++.
- Core Concepts: Foundational understanding of distributed systems, cloud-native software development, microservices, and Infrastructure as Code (IaC).
- Virtual Infrastructure: Exposure to KVM, OpenStack, Kubernetes, or VMware.
- Infrastructure Components: Familiarity with Cassandra, RabbitMQ, Elasticsearch, Docker, Prometheus, or Grafana.
- Automation & APIs: Exposure to Ansible, Helm, Terraform, and REST/gRPC-based APIs.
Preferred Qualifications
- Familiarity with AI/ML and AI Agentic frameworks (LangChain, FastAPI).
- Exposure to AIOps/MLOps concepts or tools (SageMaker, Databricks, Vertex AI, Azure ML, MLFlow).
- Exposure to Cloud Native GitOps tools (ArgoCD, Argo Workflows).
What HPE Offers
- Health & Wellbeing: Comprehensive benefits supporting physical, financial, and emotional wellbeing.
- Personal & Professional Development: Dedicated career growth programs and training.
- Unconditional Inclusion: Flexible, diverse, and inclusive global work culture.
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