Senior Software Engineer

Overview

Senior Software Engineer responsible for designing, developing, and maintaining storage ecosystem software and integrations within HPE's next-generation cloud platform, Green Lake.

What you'll do

• Design, develop, and maintain enhancements, features, and integrations for storage ecosystem software, including Kubernetes CSI Drivers storage integrations, storage automation frameworks, cloud-native plugins and operators, virtualization and container ecosystem integrations, and REST APIs, SDKs, and management services.
• Analyze solution requirements and architecture to determine design, coding, testing, and integration activities.
• Develop scalable, secure, and highly available software solutions using modern software engineering practices.
• Write, review, and maintain unit, integration, functional, and automation tests; identify root causes and resolve software defects.
• Participate in architecture reviews, design discussions, code reviews, and technical decision-making processes.
• Lead feature development efforts and collaborate with internal teams, open-source communities, and external partners.
• Drive software quality, CI/CD adoption, observability, automation, and operational excellence initiatives.
• Collaborate with product management, system architects, QA, DevOps, and support teams throughout the software lifecycle.
• Mentor junior engineers and provide technical leadership within project teams.
• Leverage AI-assisted development tools and automation to improve engineering productivity, code quality, testing efficiency, and troubleshooting effectiveness.

What you'll need

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or equivalent.
• Typically 5+ years of software development experience in enterprise or cloud-native environments.
• Strong software development experience in Golang (Must).
• Strong understanding of object-oriented design, distributed systems, microservices architecture, RESTful APIs, and event-driven architectures.
• Kubernetes ecosystem development, including CSI Drivers, Operators, Custom Resource Definitions (CRDs), and Kubernetes APIs.
• OpenStack ecosystem knowledge, particularly storage-related services.
• Container technologies including Docker, Podman, and OCI containers.
• CI/CD and DevOps practices using GitHub Actions, Jenkins, and GitLab CI.
• Automated testing and release pipelines.
• Software testing methodologies, including unit, integration, system, regression, and automation testing.
• Strong debugging, performance analysis, and troubleshooting skills.
• Excellent analytical and problem-solving capabilities.
• Strong written and verbal communication skills with the ability to explain technical designs, architecture decisions, and trade-offs to engineering and leadership teams.
• Ability to work effectively in global, cross-functional, and open-source collaboration environments.

Nice to have

• Experience contributing to open-source projects.
• Python and Java software development experience.
• Enterprise block, file, and object storage concepts.
• Storage protocols and technologies including iSCSI, Fibre Channel, NVMe/TCP, NFS, and SMB.
• Experience with storage management platforms, data services, and high-availability architectures.
• Effective use of AI coding assistants and productivity tools such as GitHub Copilot, Microsoft Copilot, and AI-assisted code review tools.
• Experience applying Generative AI for code generation, unit test generation, documentation creation, root cause analysis, and operational troubleshooting.
• Understanding of LLM concepts and prompt engineering, AI-driven software development workflows, and AI-assisted DevOps and automation practices.

Details

• Hybrid role requiring an average of 2 days per week from an HPE office.
• Location: Bengaluru, Karnataka, India.