Senior Cloud Engineer

Neysa; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Neysa is seeking a Senior Cloud Infrastructure Engineer in Mumbai to design, deploy, automate, and operate scalable compute, storage, networking, and Kubernetes infrastructure across private and public clouds. You will work hands-on across Linux systems, virtualization, and automation to ensure high availability and security of mission-critical workloads.

You will collaborate with engineering and customer-facing teams to optimize performance, automate deployments, and troubleshoot complex

Qualifications

• Deep understanding of virtualization and cloud infrastructure across multiple providers.
• Strong Linux systems administration and data center deployment experience.
• Hands-on with automation scripts and IaC tools (Terraform, Python, Bash).
• Familiarity with container orchestration (Kubernetes, Docker, Nomad).
• Knowledge of storage networks, networking, security, and disaster recovery.

Responsibilities

• Design, deploy, automate, and operate scalable cloud infrastructure across private/public clouds.
• Work across Linux, virtualization, storage, and networking to support Kubernetes workloads.
• Collaborate with engineering and customer teams to optimize performance and cost.
• Develop and test automation to ensure reliability and rapid recovery from failures.
• Identify failure points and simulate scenarios to validate design decisions.

Skills

Virtualization

Cloud computing

Automation

Container orchestration

Troubleshooting

Security concepts

Networking basics

Linux administration

Education

Bachelor's degree or equivalent

Tools

KVM

VMware

AWS

GCP

Azure

Terraform

Python

PowerShell

Bash

Kubernetes

Docker

Nomad

Job description

About the Role

We are building a next-generation cloud platform designed to power AI, enterprise, and high-performance computing (HPC) workloads. As a Senior Cloud Infrastructure Engineer, you will be responsible for designing, deploying, automating, and operating highly available compute, virtualization, storage, networking, and Kubernetes infrastructure across both private and public cloud environments.

In this role, you will work across the full infrastructure stack—from Linux systems, virtualization, storage, and networking to Kubernetes orchestration and infrastructure automation- ensuring our platform is scalable, resilient, secure, and operationally efficient.

You will collaborate closely with engineering, and customer-facing teams to deliver reliable cloud infrastructure, optimize performance, automate deployments, and troubleshoot complex production environments.

This is a hands-on engineering role for someone who enjoys solving complex infrastructure challenges, building automation-first platforms, and operating mission-critical cloud infrastructure at scale.

What you will be doing:

• Work with multiple cloud providers (AWS, GCP, Azure and/or your own!) to create an infrastructure that seamlessly stitches everything together.
• Build and maintain automatic scaling and reducing algorithms for infrastructure and software services.
• Identify points of failure and design around them. Create and simulate failure scenarios to test and verify your design choices.
• Work deeply with ancillary technologies, viz. networking, storage, load balancing, DNS, DHCP, logging, etc.
• Interact with developers to optimize placement, understand cost structures to optimize expenses, and design bespoke infrastructure deployment rules.

What we need to see:

Core virtualization and Storage (10+ years)

• Have a (very) deep understanding of virtualization, cloud computing, containers and automation across KVM, VMware, AWS, GCP and Azure.
• Have a strong understanding of Storage Systems i.e. Block, iSCSI, NFS, FC (Fibre Channel) and Scale-Out.
• Have intermediate or advance level understanding of Container Orchestration like Kubernetes, Docker Swarm and Nomad.
• Be intimate with security concepts like firewalling, API security, placement policies, load balancing and availability.
• Be an expert in automation and automation frameworks. You should be able to design, write and troubleshoot automation scripts across platforms. Which include (but not limited to) Bash (Shell), PowerShell, Python, Terraform
• Understand how infrastructure components like DHCP, DNS, messaging queueing mechanisms, logging etc. work.
• Have a strong, intuitive approach to troubleshooting complex, multi-domain issues.
• Have experience on cloud networking and extranets.
• Have an understanding of encryption, its effect on infrastructure services, and its suitability.

Ways to stand out from the rest:

• The initiative to work independently, at your own pace, but on a schedule
• Intuitive about what is a problem now and what could be a problem down the line
• Kubernetes certifications (CKA, CKS) or Red Hat Certified Engineer (RHCE)
• Good understanding of Networking
• Linux certifications

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Electronics, Information Technology, or equivalent professional experience
• 4+ years of Linux systems administration and data center deployment

Soft Skills:

• Strong problem-solving and debugging abilities across hardware, kernel, and application layers
• Ownership mindset with accountability for deployment quality and customer success
• Cross-functional collaboration with other teams
• Proactive approach to continuous learning and staying current with AI infrastructure trends
• Strong documentation and presentation skills, able to defend design decisions amongst peers.