Senior Engineer Virtualisation

Presidio Solutions; Hyderabad, Chennai, Bengaluru; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

Presidio Solutions in India is seeking a seasoned Senior Engineer for the virtualization team. You will design, automate, and operate large-scale VMware Cloud Foundation environments integrated with Kubernetes, bridging traditional virtualization with cloud-native orchestration.

You will mentor junior engineers, influence platform roadmaps, and collaborate with application, security, and DevOps teams to push automation-first infrastructure and maintain strong reliability and security postures.

Qualifications

• Bachelor's or Master’s degree in Computer Science, IT, or related engineering discipline.
• 36 years of hands-on experience in virtualization, private cloud, or infrastructure engineering.
• Demonstrated experience delivering production-grade Kubernetes and VMware VCF environments.
• Strong analytical and troubleshooting skills across compute, storage, and network layers.
• Ability to work independently, manage priorities, and communicate clearly with cross-functional stakeholders.

Responsibilities

• Design, deploy, and manage VMware Cloud Foundation environments including vSphere, vSAN, NSX-T, and SDDC Manager.
• Architect and maintain Kubernetes clusters (TKG / upstream Kubernetes) on top of VCF, ensuring high availability and scalability.
• Build and maintain automation frameworks using VMware Aria Automation (vRA), Orchestrator (vRO), Terraform, and Ansible to provision and manage infrastructure lifecycle.
• Develop custom vRealize Orchestrator workflows and action-based extensibility for complex infrastructure operations.
• Implement GitOps and Infrastructure-as-Code (IaC) practices to version-control infrastructure configurations and deployments.
• Integrate Kubernetes workloads with NSX-T networking, persistent storage (vSAN, NFS), and enterprise security policies.
• Monitor and optimize platform performance, capacity planning, and SLA adherence across VCF and K8s environments.
• Produce and maintain technical documentation, runbooks, and architecture decision records (ADRs).

Skills

Kubernetes

Cluster lifecycle management

Helm

RBAC

Networking policies

Persistent volumes

Scripting

Python

Automation

Monitoring

Education

Bachelor's or Master's degree in Computer Science/IT or related engineering

Tools

VMware Cloud Foundation (VCF)

vSphere

vSAN

NSX-T

SDDC Manager

Tanzu Kubernetes Grid

Terraform

Ansible

vRealize Orchestrator

GitOps tooling

Job description

ABOUT THE ROLE

We are looking for a seasoned Senior Engineer to join our Virtualization team, focused on designing, automating, and operating large-scale VMware Cloud Foundation (VCF) environments integrated with Kubernetes. You will bridge the worlds of traditional virtualization and modern cloud-native orchestration, driving automation-first approaches across our infrastructure stack.

You’ll be a key contributor in shaping our platform roadmap, mentoring junior engineers, and collaborating closely with application, security, and DevOps teams.

KEY RESPONSIBILITIES

• Design, deploy, and manage VMware Cloud Foundation (VCF) environments including vSphere, vSAN, NSX-T, and SDDC Manager.
• Architect and maintain Kubernetes clusters (Tanzu Kubernetes Grid / upstream K8s) on top of VCF, ensuring high availability and scalability.
• Build and maintain automation frameworks using VMware Aria Automation (vRA), Orchestrator (vRO), Terraform, and Ansible to provision and manage infrastructure lifecycle.
• Develop custom vRealize Orchestrator workflows and Action-based extensibility for complex infrastructure operations.
• Implement GitOps and Infrastructure-as-Code (IaC) practices to version-control infrastructure configurations and deployments.
• Integrate Kubernetes workloads with NSX-T networking, persistent storage (vSAN, NFS), and enterprise security policies.
• Monitor and optimize platform performance, capacity planning, and SLA adherence across VCF and K8s environments.
• Produce and maintain technical documentation, runbooks, and architecture decision records (ADRs).

REQUIRED SKILLS & TECHNOLOGIESKubernetes (K8s)

Cluster lifecycle management, Helm, namespaces, RBAC, networking policies, persistent volumes, Tanzu Kubernetes Grid (TKG).

VMware Cloud Foundation (VCF) vSphere 7/8, SDDC Manager, vSAN, NSX-T/NSX 4.x, Workload Management / Supervisor clusters.

VMware Aria Automation vRealize Automation (vRA) 8.x, cloud templates, catalog services, integration with ITSM and IPAM systems.

vRealize Orchestrator (vRO) Workflow design and scripting (JavaScript), plugins, REST/SOAP API integrations, action-based extensibility.

Infrastructure-as-Code Terraform (VMware provider), Ansible playbooks, GitOps workflows with ArgoCD or Flux, version-controlled pipelines.

NSX-T / NSX Networking Micro-segmentation, T0/T1 gateways, load balancing, distributed firewall, NAT, BGP/OSPF routing.

Scripting & Automation Python, PowerShell/PowerCLI, Bash scripting for infrastructure automation and operational tasks.

Monitoring & Observability VMware Aria Operations (vROps), Prometheus, Grafana, log aggregation (ELK/Loki), alerting frameworks.

GOOD TO HAVE

• Experience with VMware Aria Operations for Networks (formerly vRNI) for network visibility and troubleshooting.
• Exposure to multi-cloud or hybrid-cloud architectures (AWS, Azure, GCP) connected to on-prem VCF.
• Familiarity with container security tools (Twistlock / Prisma Cloud, OPA/Gatekeeper, image scanning).
• Knowledge of Service Mesh (Istio, Antrea Service Mesh) for K8s workload connectivity.
• Experience with VMware Site Recovery Manager (SRM) or Zerto for DR automation.
• Exposure to GitLab CI/CD or Jenkins pipelines for infrastructure automation.
• Understanding of ITIL processes Change, Incident, and Problem Management.

EDUCATION & BACKGROUND

• Bachelor's or Master's degree in Computer Science, Information Technology, or related engineering discipline.
• 36 years of hands-on experience in virtualization, private cloud, or infrastructure engineering roles.
• Demonstrated experience delivering production-grade Kubernetes and VMware VCF environments.
• Strong analytical and troubleshooting skills across compute, storage, and network layers.
• Ability to work independently, manage priorities, and communicate clearly with cross-functional stakeholders.