DevOps Engineer

Overview

Hands-on DevOps Engineer role at UptimeAI, an AI-first SaaS startup, owning cloud infrastructure, deployment and CI/CD workflows across AWS and Azure.

What you'll do

• Design, implement and manage cloud infrastructure across AWS and Azure for internal platforms and customer-specific deployments
• Configure and maintain VPCs, VPNs and peering to enable secure, scalable and isolated environments
• Build and automate CI/CD pipelines for application and ML workloads
• Manage multi-tenant vs single-tenant deployments based on customer requirements
• Implement monitoring, alerting, logging and disaster recovery strategies
• Work closely with engineering to ensure seamless Dev→Prod flows and secure release management
• Set up and manage infrastructure as code (e.g., Terraform, Pulumi, Bicep, CloudFormation)
• Optimize costs, performance and availability for internal and customer-facing cloud workloads
• Enforce security best practices, access control and compliance across infrastructure

What you'll need

• 4+ years of experience as a DevOps/SRE/Cloud Engineer in high-growth SaaS or product startups
• AWS Certified (at least Solutions Architect - Associate)
• Azure Certified (e.g., AZ-104 or higher)
• Strong experience with AWS and Azure networking, including VPC, VPNs, Subnets, Route Tables, Security Groups and NAT Gateways
• Site-to-site VPN setups for enterprise customers
• Proven experience deploying applications to customer-controlled cloud environments (BYOC) and company-controlled SaaS environments
• Expertise with CI/CD tools such as GitHub Actions, GitLab CI or Azure Pipelines
• Expertise with IaC tools such as Terraform, Bicep or Pulumi
• Expertise with containers: Docker and Kubernetes (EKS/AKS preferred)
• Familiarity with Secrets Management, IAM, Role-based Access Control and SSO/SAML integration
• Strong scripting skills in Bash, Python or PowerShell
• Comfortable working in a fast-paced, ambiguous startup environment

Nice to have

• Experience with AI/ML pipeline deployment or GPU workloads
• Exposure to SOC2, ISO27001 or GDPR compliance in a cloud environment
• Familiarity with tools such as Prometheus, Grafana, Datadog, ELK or Azure Monitor

Details

• Location: Bangalore, India
• Work mode: Hybrid
• Employment type: Full-time