DevOps Engineer

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About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would.

About the Role: We are a fast-growing, AI-first SaaS startup backed by top-tier investors and operating across India and the US. Our platform helps enterprises optimize critical business functions using cutting-edge AI and automation. As we scale, were looking for a hands-on DevOps Engineer who thrives in startup environments and can take ownership of cloud infrastructure, deployment, and CI/CD workflows.

Responsibilities:

• Design, implement, and manage cloud infrastructure across Azure for both 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 DevProd flows and secure release management
• Set up and manage infrastructure as code (e.g., Terraform, Pulumi, Bicep, CloudFormation)
• Optimize costs, performance, and availability for both internal and customer-facing cloud workloads
• Enforce security best practices, access control, and compliance across infrastructure

Qualifications:

• 3 - 8 years of experience as a DevOps/SRE/Cloud Engineer in high-growth SaaS or product startups
• AWS Certified (at least Solutions Architect - Associate) and Azure Certified (e.g., AZ-104 or higher)
• Strong experience with Azure networking, including: VPC, VPNs, Subnets, Route Tables, Security Groups, 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 tools like: CI/CD: GitHub Actions, GitLab CI, Azure Pipelines; IaC: Terraform, Bicep, or Pulumi; Containers: Docker, 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

Required Skills:

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

Pay range and compensation package: Not specified in the provided job description.

Equal Opportunity Statement: UptimeAI is committed to diversity and inclusivity in the workplace.

Why to join UptimeAI:

• Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients.
• Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth.
• Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.

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