Cloud Architect

Cloud Architect - Enterprise AI PlatformsLocation: Mumbai | Onsite | Full-TimeAbout Network ScienceAt Network Science, we’re not just deploying AI — we’re building the Operating System for the Enterprise AI World. Our mission is to help global enterprises adopt, scale, and operationalize AI with precision, velocity, and measurable ROI.To power this vision, we are seeking a Cloud Architect who can design, optimize, and future-proof our cloud-native infrastructure across multiple AI product lines — from GenAI co-pilots to multi-tenant SaaS platforms.What You’ll DoAs Cloud Architect, you’ll be responsible for leading the design, deployment, and governance of all cloud infrastructure supporting our global product suite. You’ll work closely with engineering, DevOps, data, and AI teams to ensure our infrastructure is secure, scalable, cost-optimized, and always production-ready.Core Responsibilities:Architect and manage scalable, secure, and high-performance cloud environments (AWS/GCP/Azure) for AI-powered SaaS platformsDefine and enforce cloud architecture best practices, standards, and frameworks for multi-region deploymentsCollaborate with engineering teams to build and scale microservices, containers, and serverless systemsOversee cloud security controls, IAM, encryption strategies, and compliance with frameworks like SOC2, ISO 27001, and GDPRDesign and optimize network architecture, VPC peering, VPNs, and load balancing strategiesWork with DevOps teams to implement CI/CD pipelines, observability tools, and auto-scaling mechanismsLead cloud cost optimization efforts — balancing performance with budgetSet up and manage backup, DR, failover, and high-availability strategiesProvide technical leadership, mentoring, and architecture governance to cross-functional teamsStay ahead of emerging trends in cloud-native tools, AI infrastructure, and edge computeMust-Have Qualifications7–10 years of experience in cloud architecture, with proven delivery in SaaS or AI/ML product environmentsDeep expertise in AWS, with working knowledge of GCP or AzureStrong command over Kubernetes, Docker, Terraform/CloudFormation, and CI/CD automationAdvanced understanding of cloud networking, storage, security, and IAM policiesExperience with multi-tenant architecture, container orchestration, and API gatewaysKnowledge of AI/ML infrastructure needs, GPU provisioning, and hybrid training/inference workloadsAbility to communicate complex concepts clearly and influence senior stakeholdersBachelor's or Master’s in Computer Science, Information Systems, or related fieldCloud certifications (e.g., AWS Certified Solutions Architect – Professional) are a strong plusPreferred QualificationsExperience with multi-cloud or hybrid cloud strategyExposure to LLM infrastructure or deploying ML inference pipelines at scaleFamiliarity with cloud-native databases (DynamoDB, BigQuery, Snowflake)Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)Strong understanding of cloud compliance and audit readinessPrior experience in startup or high-growth environments with high deployment velocityPassion for automation, clean documentation, and platform thinkingWhy This Role MattersAs Cloud Architect at Network Science, you will be building the invisible infrastructure that powers our AI innovation engine. You will not just support deployments — you will enable transformation for some of the world’s leading enterprises.This is your opportunity to build systems that are mission-critical, globally scalable, and AI-native by design.