Virtualization Engineer

aion

Virtualization Engineer designing and building Aion's virtualization platform for AI workloads. Architecting secure, scalable, high-performance infrastructure across cloud, hybrid, and on-premises environments.

Posted 7/22/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing virtualization platforms for AI workloads across cloud, hybrid, and on-premises environments, with a strong focus on infrastructure automation, resource allocation, and compliance with enterprise security best practices.

Highest-signal resume keywords

Virtualization Platform DevelopmentLinux InternalsKubernetes ExperienceInfrastructure Automation with TerraformAI Infrastructure Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GolangHypervisors (KVM, QEMU, VMware, Xen)Distributed Storage SystemsObservability Tools (Prometheus, Grafana, OpenTelemetry)Networking ConceptsSystems ProgrammingInfrastructure-as-CodeResource Allocation StrategiesDebugging Complex Infrastructure IssuesHigh Availability Design

Tools & Technologies

DockerTerraformAnsibleKubernetesCloud Platforms (AWS, Azure, GCP, OpenStack)

Industry Keywords

Enterprise AI DeploymentsVirtualization InfrastructureCompute UtilizationWorkload IsolationDisaster RecoveryMulti-Tenant EnvironmentsCompliance with Security Best PracticesInfrastructure Control PlanesCluster Lifecycle ManagementService Meshes

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerGoGoogle Cloud PlatformGrafanaKubernetesLinuxOpenStackPrometheusPythonRustTerraformVMware

About the role

Key responsibilities & impact

Design and build Aion's virtualization platform for running AI workloads across cloud, hybrid, and on-premises environments.
Architect secure, scalable, and high-performance virtualization infrastructure supporting enterprise AI deployments.
Build virtualization services that optimize compute utilization while maintaining workload isolation and reliability.
Develop reusable platform components that simplify provisioning, lifecycle management, and infrastructure automation.
Design intelligent compute scheduling and resource allocation strategies for CPU, memory, storage, networking, and GPU resources.
Implement virtualization technologies that improve infrastructure utilization while ensuring predictable performance.
Optimize workload placement, scaling, and resource balancing across distributed clusters.
Build automation for provisioning, migration, recovery, and lifecycle management of virtualized environments.
Optimize virtualization stacks for low-latency, high-throughput, and efficient resource utilization.
Debug complex infrastructure issues across Linux systems, networking, storage, hypervisors, and Kubernetes environments.
Improve system performance through profiling, benchmarking, and infrastructure tuning.
Design highly available infrastructure with redundancy, fault tolerance, and disaster recovery capabilities.
Build secure multi-tenant virtualization environments for enterprise customers.
Implement networking, storage, identity, and access controls across virtualized infrastructure.
Design infrastructure supporting customer VPC deployments, air-gapped environments, and on-premises installations.
Ensure compliance with enterprise security, governance, and operational best practices.
Build comprehensive monitoring for virtualization infrastructure, resource utilization, and system health.
Implement telemetry for compute performance, storage, networking, GPU utilization, and infrastructure reliability.
Conduct code reviews and establish engineering best practices for infrastructure automation and platform reliability.
Collaborate closely with AI platform, orchestration, inference, and DevOps teams to continuously improve infrastructure capabilities.

Requirements

What you’ll need

4+ years of experience building virtualization platforms, cloud infrastructure, or systems software.
Strong understanding of Linux internals, operating systems, and virtualization technologies.
Experience with hypervisors such as KVM, QEMU, VMware, Xen, or similar platforms.
Strong proficiency in Golang is preferred. Python, Rust, or C++ experience is a plus.
Experience with Kubernetes, Docker, container runtimes, and cloud-native infrastructure.
Knowledge of networking concepts including virtual networking, overlays, load balancing, and service meshes.
Experience with infrastructure automation using Terraform, Ansible, or Infrastructure-as-Code tools.
Understanding of distributed storage systems, filesystems, and storage virtualization.
Experience building highly available distributed infrastructure platforms.
Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, and distributed logging.
Understanding of authentication, authorization, secrets management, and enterprise security best practices.
Experience supporting GPU workloads or AI infrastructure is highly desirable.
Bonus/ Good to Have
Cloud & Hybrid Infrastructure: Experience building platforms across AWS, Azure, GCP, OpenStack, VMware, or hybrid cloud environments.
Systems Programming: Experience developing low-level systems software, Linux kernel modules, virtualization services, device drivers, or storage systems.
Enterprise Infrastructure: Experience designing infrastructure for customer VPC deployments, on-premises environments, or regulated enterprise workloads.
Platform Engineering: Experience building Internal Developer Platforms (IDPs), infrastructure control planes, Kubernetes Operators, or cluster lifecycle management systems.

Benefits

Comp & perks

Founder-level ownership and bias for action.
Strong strategic thinking and ability to connect technical decisions to business impact.
Excellent communication and mentoring skills.
Thrives in ambiguity, fast-paced environments, and early-stage startup culture.
Work directly with high-pedigree founders shaping technical and product strategy.
Build infrastructure powering the future of AI compute globally.
Significant ownership and impact with equity reflective of your contributions.
Competitive compensation, flexible work options, and wellness benefits