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 .