Senior Cloud Architect - AWS & GCP

Job Description

Senior Cloud Architect (AWS&GCP) Location: Mumbai, India Work Type: Full-Time, Onsite Cloud Platforms: AWS & GCP (Primary), Azure (Secondary) Core Focus: Cloud Architecture, Operational Excellence, Security Hardening, AI-Driven Infrastructure Automation About the Role: We?re looking for a forward-thinking Senior Cloud Architect who is not only an expert in multi-cloud infrastructure, but also excited to lead the charge in managing infrastructure via bots and AI agents . Based in Mumbai , this role combines deep architectural expertise across AWS, GCP, and modern app platforms with a strong focus on operational efficiency, security hardening, and next-gen automation . You?ll help drive the adoption of AI-driven approaches , embedding intelligent agents into cloud operations to automate detection, remediation, monitoring, and decision-making. In This Role You Will? Architect and implement secure, scalable, and cost-effective infrastructure on AWS and GCP , supporting hybrid and multi-cloud workloads. Design platforms to support varied enterprise stacks: .NET + MSSQL , Ruby on Rails , Java , PostgreSQL , MySQL , IIS , and Kubernetes . Lead initiatives around Operations as Code, Monitoring as Code, Security as Code , and Self-Healing infrastructure . Champion the integration and scaling of AI agents and intelligent bots to support tasks like alert triage, defect remediation, ticket handling, and observability. Use Terraform, Ansible, Puppet, or Chef for environment automation and configuration consistency. Collaborate with Security to embed policy enforcement, conduct audits, and lead remediation across infrastructure layers. Define and implement monitoring/alerting systems using Prometheus, Grafana, ELK Stack, CloudWatch , and others. Drive cost efficiency, availability, and performance across infrastructure with automation-first thinking. Provide architectural guidance and mentorship to DevOps, CloudOps, and SRE teams. Actively contribute to innovation by exploring how LLMs, AI Ops, and AI-driven tooling can transform traditional infrastructure operations. You?ve Got What It Takes If You Have: 10+ years in Cloud Architecture, Infrastructure Engineering , or related roles. Proven expertise in AWS (certified preferred), strong working knowledge of GCP and Azure . Demonstrated experience supporting applications in .NET/IIS , Java/RoR , and containerized environments on Kubernetes . Strong experience with RDBMS and NoSQL : MSSQL, PostgreSQL, MySQL. Scripting and automation with Python, Go, PowerShell, YAML . Familiarity with datacenter operations , CI/CD , and IaC (e.g., Terraform, CloudFormation). Hands-on experience or experimentation with AI Agents , LLMs , or intelligent automation frameworks in an ops context. A strong bias toward automation, and passion for managing infrastructure through bots and intelligent systems . Experience integrating security tools like GuardDuty, SCC, AWS Config , etc., into infrastructure workflows. Extra Dose of Awesome If You Have: AWS Solutions Architect ? Professional or GCP Professional Cloud Architect certification. Experience with modern observability platforms and security automation. Familiarity with concepts like Auto-Healing systems, anomaly detection , and AI-based log analysis .