Cloud Infrastructure & Platform Engineer

Overview

Design, build and operate the cloud infrastructure that powers Virallens' AI products and enterprise applications, with ownership of architecture across cloud platforms, networking, Kubernetes, security, scalability, observability and platform services.

What you'll do

• Design cloud-native infrastructure on AWS or GCP for scalable production applications.
• Architect Kubernetes platforms that support microservices, AI workloads, APIs and enterprise applications.
• Design secure networking including VPCs, subnets, private networking, VPNs, load balancers, gateways and DNS.
• Build reusable infrastructure using Infrastructure as Code (Terraform).
• Design highly available, fault-tolerant and disaster-resilient cloud architectures.
• Define infrastructure standards, governance and platform best practices.
• Design multi-environment infrastructure for development, staging and production.
• Design infrastructure for containerized applications using Kubernetes and Docker.
• Architect application networking, ingress, service discovery, storage and scaling strategies.
• Build infrastructure supporting REST APIs, event-driven systems, background workers and distributed services.
• Design infrastructure for databases, Redis, Kafka, object storage and messaging systems.
• Support multi-tenant SaaS architectures with secure tenant isolation.
• Optimize infrastructure for performance, scalability, availability and operational efficiency.
• Implement cloud security best practices including IAM, secrets management, encryption, network security and compliance.
• Design monitoring, logging, alerting, tracing and operational dashboards.
• Improve resilience through backup, disaster recovery, failover and capacity planning.
• Perform infrastructure reviews, architecture improvements and production readiness assessments.
• Optimize cloud resource utilization and infrastructure costs.
• Build internal platforms that simplify infrastructure provisioning and deployments.
• Create reusable Terraform modules and platform templates.
• Improve developer experience through automation and self-service infrastructure.
• Enhance CI/CD pipelines where required to support reliable infrastructure delivery.
• Standardize infrastructure provisioning across engineering teams.

What you'll need

• 3–6 years of experience designing and managing cloud infrastructure.
• Strong experience with AWS or GCP architecture.
• Hands-on experience designing Kubernetes platforms in production.
• Expertise in Infrastructure as Code using Terraform.
• Strong understanding of networking, VPC design, routing, DNS, VPNs, firewalls and load balancing.
• Experience designing scalable cloud architectures for distributed applications.
• Knowledge of Linux, Docker, Kubernetes and cloud-native technologies.
• Experience designing highly available, fault-tolerant systems.
• Strong understanding of infrastructure security and cloud best practices.
• Experience with monitoring, observability and platform reliability.
• Excellent troubleshooting and architecture skills.

Nice to have

• Experience designing infrastructure for AI/ML platforms.
• Experience with Vertex AI, SageMaker or GPU infrastructure.
• Multi-cloud experience (AWS, GCP, Azure).
• Experience with service mesh technologies (Istio, Linkerd).
• Experience building Internal Developer Platforms (IDP).
• Knowledge of FinOps and cloud cost optimization.
• Experience with large-scale SaaS infrastructure.
• Design infrastructure supporting AI inference, RAG systems, vector databases and LLM services.
• Build scalable GPU-enabled infrastructure where required.
• Support AI workloads with efficient networking, storage, monitoring and autoscaling.

Details

• Location: Bengaluru, Karnataka (On-site).
• Employment type: Full-time.
• Experience: 3–6 years.