OpenOpportunity Sourced Jobs — Bengaluru
Full Time · On Site · Entry Level
Role: Data Platform Engineer | Department: Engineering - Software & QA | Industry: IT Services & Consulting | Education: UG: B.Tech / B.E. in Any Specialization PG: M.Tech in Any Specialization 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: 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) writing high-quality code in la[nguages such as...] Note: A clean, genuinely well-matched listing at a legitimate global employer (4.0 rating, 4.8K reviews). The JD explicitly labels the role "Entry Level / Junior" and states "0-2 years of hands-on experience (including internships, co-ops, or academic projects)" -- language that lines up honestly with the structured "0 - 2 years" Experience field, unlike several other listings in this file. The Key Skills list (GitOps, ArgoCD, AIOps, Databricks, Cassandra) is coherent and specific to modern cloud-native/DevOps tooling. The only mild oddity is the structured Role field, "Data Platform Engineer," a slightly narrower classification than the broader "Software Systems Engineer-Devops" title and content actually describe.
gitops, aiops, ci/cd pipelines, argocd, golang, ai, databricks, cloud native, ansible, docker, cloud, elastic search, automation, automation tools, apis, automating, cassandra, azure ml, devops, datadog, distributed systems, azure, deployment