DevOps Engineer
Bengaluru · Senior
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Job description
DevOps Engineer
About UptimeAI:
UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions.
Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity grows, organizations struggle to scale the expert judgment needed to maintain reliability, safety, and performance.
UptimeAI addresses this challenge by embedding engineering reasoning directly into AI agents that continuously analyze operational data, diagnose issues, and guide teams toward the best actions. The result is faster decisions, reduced downtime, improved efficiency, and stronger operational performance.
Role: DevOps Engineer
Location: Bangalore, India (Hybrid)
Experience: 4+ years
Department: Engineering
Type: Full-time
About Us
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, we’re looking for a hands-on DevOps Engineer who thrives in startup environments and can take ownership of cloud infrastructure, deployment, and CI/CD workflows.
Key Responsibilities
Design, implement, and manage cloud infrastructure across AWS and 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 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 both internal and customer-facing cloud workloads
Enforce security best practices, access control, and compliance across infrastructure
Requirements
4+ 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 AWS and 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
Good 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 like Prometheus, Grafana, Datadog, ELK, or Azure Monitor
Why Join Us
Be part of a foundational team shaping infrastructure strategy from the ground up
Solve real-world scaling and deployment problems for enterprise AI workloads
Competitive salary + equity
Fast-track learning with ownership, autonomy, and purpose
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