14 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, implement, and manage Azure cloud infrastructure for internal platforms and customer-specific deployments.
- Configure and maintain VPCs, VPNs, subnets, route tables, security groups, NAT gateways, and peering for secure and isolated environments.
- Build and automate CI/CD pipelines for application and ML workloads.
- Manage multi-tenant and single-tenant deployments based on customer requirements.
- Implement monitoring, alerting, logging, and disaster recovery strategies.
- Collaborate with engineering to support seamless development-to-production flows and secure release management.
- Manage infrastructure as code using tools such as Terraform, Pulumi, Bicep, and CloudFormation.
- Optimize the cost, performance, and availability of internal and customer-facing cloud workloads.
- Enforce infrastructure security, access control, and compliance best practices.
Requirements
- At least 4 years of experience as a DevOps, SRE, or Cloud Engineer in a high-growth SaaS or product startup.
- Azure certification such as AZ-104 or higher and AWS certification at least at the Solutions Architect - Associate level.
- Strong AWS and Azure networking experience, including VPCs, VPNs, subnets, route tables, security groups, and NAT gateways.
- Experience setting up site-to-site VPNs for enterprise customers.
- Experience deploying applications to customer-controlled cloud environments and company-controlled SaaS environments.
- Expertise with GitHub Actions, GitLab CI, Azure Pipelines, Terraform, Bicep or Pulumi, Docker, and Kubernetes, with EKS or AKS preferred.
- Familiarity with secrets management, IAM, role-based access control, and SSO/SAML integration.
- Strong scripting skills in Bash, Python, or PowerShell.
- Experience working in fast-paced and ambiguous startup environments.
- Experience with AI/ML pipeline deployment or GPU workloads is preferred.
- Exposure to SOC2, ISO27001, or GDPR compliance in cloud environments is preferred.
- Familiarity with Prometheus, Grafana, Datadog, ELK, or Azure Monitor is preferred.
Benefits
- Full-time hybrid role based in Bangalore, India.
- Opportunity to help shape infrastructure strategy from the ground up.
- Ownership, autonomy, and fast-track learning in a foundational startup team.
- Work on real-world scaling and deployment problems for enterprise AI workloads.
- Competitive salary and equity.
Tech Stack
Categories
About UptimeAI
UptimeAI builds AI reasoning agents for industrial operations that analyze plant data to detect issues, recommend actions, and optimize reliability and performance. The company sells its software to heavy process industries, including oil and gas, power generation, chemicals, and cement, for predictive and prescriptive maintenance and operations guidance. Founded in 2019 and headquartered in San Francisco, it is privately held.