Cloud Infrastructure Engineer

As a Cloud Infrastructure & Platform Engineer, you will design, build, and operate the cloud infrastructure that powers our AI products and enterprise applications. You'll own infrastructure architecture across cloud platforms, networking, Kubernetes, security, scalability, observability, and platform services while enabling engineering teams to build and deploy applications efficiently.

• 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.
• 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.

• 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, Vertex AI, SageMaker, or GPU infrastructure, multi-cloud experience, service mesh technologies (Istio, Linkerd), Internal Developer Platforms (IDP), FinOps and cloud cost optimization, large-scale SaaS infrastructure.