5+ years of professional software engineering experience building cloud infrastructure platforms, storage automation, control plane capabilities, distributed systems, or backend services.
Bachelor's or Master's degree in Computer Science, Engineering, a related technical discipline, or equivalent professional experience.
Experience with enterprise storage platforms and vendors such as Qumulo, Dell, NetApp, and Pure Storage.
Understanding of storage-related protocols such as SMB, NFS, iSCSI, and Fibre Channel.
Strong hands-on experience with Python/Java/Go/Rust and Kubernetes, including APIs, services, deployment patterns, or platform integrations.
Familiarity with file, block, and object storage solutions across cloud providers including AWS, Azure, GCP, and Alibaba Cloud.
Experience with AWS and Infrastructure as Code such as Terraform; Crossplane experience is strongly preferred, and Azure, GCP, or Alibaba Cloud experience is a plus.
Experience in building AI Agents is strongly preferred.
Experience supporting production software or infrastructure platforms, participating in on-call rotations, and improving reliability through automation and observability.
Ability to collaborate on technical designs, write maintainable code, participate in code reviews, and communicate clearly across global teams.
WHAT YOU’LL WORK ON
You will design, build, test, and operate Kubernetes-native storage control plane capabilities that help modernize storage provisioning and lifecycle management. You will contribute to declarative, policy-driven platform services that improve automation, reliability, governance, and developer self-service across storage domains.
You will build services, APIs, platform integrations that support reusable storage control plane capabilities.
You will help migrate manual or legacy storage provisioning workflows into automated, policy-driven platform capabilities.
You will integrate storage concepts and protocol requirements into platform abstractions that are secure, observable, and operationally reliable.
You will write tests, participate in code reviews, improve documentation, and support safe release practices for production systems.
You will partner with lead engineers and managers to clarify requirements, evaluate implementation options, and deliver maintainable technical solutions.
You will support production operations, on-call rotation, observability improvements, and incident follow-up actions.
You will look for opportunities to use automation and AI-assisted engineering workflows to reduce toil and improve team productivity.
