Senior Cloud Engineer

Neysa; Mumbai; On-site; INR 320,000 - 520,000; Full time

Job summary

Neysa in Mumbai seeks a Senior Cloud Infrastructure Engineer to design, deploy, automate and operate scalable compute, virtualization, storage and Kubernetes infrastructure across private and public clouds.

You will collaborate with engineering and customer teams to optimize performance, automate deployments, and troubleshoot production environments at scale.

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• 4+ years of Linux systems administration and data center deployment.
• Deep understanding of virtualization, cloud computing, containers, and automation.
• Experience with KVM, VMware, AWS, GCP, and Azure.
• Strong security, networking, and storage knowledge.

Responsibilities

• Build and maintain infrastructure across multiple cloud providers (AWS, GCP, Azure and/or own).
• Develop automatic scaling and cost-optimizing algorithms for infrastructure and services.
• Identify failure points and design around them with simulated failure scenarios.
• Work with networking, storage, load balancing, DNS, DHCP, logging, etc.
• Collaborate with developers to optimize placement and design deployment rules to reduce costs.

Skills

Virtualization

Cloud computing

Containers

Automation

Block storage

iSCSI

NFS

Fibre Channel

Scale-Out Storage

Kubernetes

Docker Swarm

Nomad

Firewalling

API security

Placement policies

Load balancing

Availability

Bash

PowerShell

Python

Terraform

DHCP

DNS

Messaging queueing

Logging

Troubleshooting

Cloud networking

Extranets

Encryption

Education

Bachelor’s degree in Computer Science / Electrical Engineering / Electronics / Information Technology or equivalent

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.