Software Engineer II - Kubernetes

At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI technology revolution, our teams design, build, deploy, and manage AI factories for enterprises, sovereign AI initiatives, and neocloud providers worldwide.

Headquartered in Silicon Valley, California, Penguin Solutions operates globally through a network of R&D, manufacturing, and sales locations. For nearly three decades, we have operated at the intersection of memory and AI/HPC infrastructure. That engineering expertise positions us to power the next generation of AI workloads, from training to inference and agentic AI at scale.

Penguin Solutions brings together differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner solutions in a full-stack AI factory platform designed to help customers deploy and scale AI workloads with speed and precision.

At Penguin Solutions, we value ideas over hierarchy and believe in servant leadership, where leaders enable teams to do their best work. We empower employees to take ownership, drive innovation, and grow through challenging work, continuous learning, and exposure to advanced AI tools and technologies. With flexibility where it matters and a strong focus on outcomes, Penguin Solutions is a place to do your best work, grow your career, and make a meaningful impact.

Job Overview

We are looking for a Software Engineer – Kubernetes Platform to help build and operate the cloud-native platform that powers ClusterWareAI. In this role, you will develop Kubernetes-native services, automation, and platform capabilities that enable the ClusterWareAI AI Operational Agent to deploy, scale, and operate reliably in enterprise environments.

You will work closely with AI engineers, backend developers, and platform architects to build secure, resilient, and highly available cloud-native solutions.

Responsibilities

• Design and develop Kubernetes-native services and controllers.
• Develop software to implement platform APIs and services for ClusterWareAI.
• Build and maintain Kubernetes Operators, CRDs, and automation for deploying AI workloads.
• Collaborate with AI and backend engineering teams to integrate AI services into the platform.
• Improve the scalability, reliability, and observability of cloud-native applications.
• Build and maintain CI/CD pipelines, deployment automation, and infrastructure tooling.
• Troubleshoot Kubernetes clusters and distributed applications.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3–6 years of software engineering experience.
• Strong programming skills in Go or Python.
• Hands-on experience with Kubernetes application development.
• Experience building REST APIs and microservices.
• Experience with Docker and containerized applications.
• Understanding of distributed systems and cloud-native architectures.
• Experience with Git and modern software development practices.

Preferred Qualifications

• Experience developing Kubernetes Operators using Kubebuilder or Operator SDK.
• Experience with Helm, Argo CD, Flux, or similar GitOps tools.
• Familiarity with CNCF projects such as Prometheus, OpenTelemetry, Istio, or Envoy.
• Experience with AWS, Azure, or Google Cloud.
• Knowledge of infrastructure as code tools such as Terraform.
• Exposure to AI/ML platforms or GPU-based workloads is a plus.
• Familiarity with virtualization or enterprise infrastructure platforms is desirable.

Location

Hybrid - Bangalore

Travel

As needed