This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This role has been designed as 'Onsite' with an expectation that you will primarily work from an HPE office. HPE Datacenter Networking team is looking for a Cloud Native Software Developer with expertise in Software Development in Cloud Native products, Distributed systems with strong acumen to solve problems leveraging large scale automation tools such as AI Agents and Co-pilots.
Job Responsibility:
Design, develop, troubleshoot and debug software programs for software enhancements and new products
Develop software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools
Provide technical leadership for significant project/program work
Lead or participate in cross-functional initiatives and contribute to mentorship and knowledge sharing across the organization
Requirements:
B.Tech or M.Tech in Computer Science or related major
Minimum 4 years hands on experience writing high quality code in languages such as Python, Golang, Java, C or C++
Expertise in designing and solving problems involving Distributed systems, Cloud Native software development, Microservices, Infrastructure as a code
Expertise in Virtual Infrastructure Management Softwares like KVM, Openstack, Kubernetes, VMWare, etc.
Proficiency in working with infrastructure components like Cassandra, RabbitMQ, Elastic Search, Docker, Prometheus, Grafana
Write software at scale to perform Testability, Observability, Debuggability for Cloud and On-prem software solutions
Experience writing tools to deploy, monitor, manage large scale SaaS or IaaS platforms using infrastructure constructure defined in Ansible, Helm or Terraform
Write code, automate the testcases and integrate them to CI/CD pipeline for continuous execution and quality management
Experience in building software leveraging REST, gRPC based APIs
Attention to details and implement monitoring infrastructure for Hyperscale Infrastructure using stacks such as Open telemetry, leveraging monitoring tools such as Datadog, Signoz
Curios to learn and stay on top of latest technology and tooling advancements and stay humble and drive initiatives to solve customer problems
Nice to have:
Familiarity with AI/ML and AI Agentic frameworks and tools such as LangChain, FastAPI
Prior experience in designing and implementing AIOPs and MLOps pipelines using tools such as Sagemaker, Databricks, Vertex AI, Azure ML, MLFlow
Experience with Cloud Native GitOps tools (ArgoCD, Argo Workflow, etc.)
Have external citations on technical papers, participate in technical community forums, have active participation in professional organizations such as IEEE