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.
