UptimeAI
DevOps Engineer
- Location
- Bangalore (India), IN
- Employment type
- Full-time
- Posted
- 11 November 2026 (4 days ago)
Checked 4 days agoApplications go to the employer, never to RoleSprint
About this role
DevOps Engineer - Azure
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 - Azure
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 in 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
- Azure Certified (e.g., AZ-104 or higher) and AWS Certified (at least Solutions Architect - Associate)
- 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
Work location
- IN
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About this listing
Published on Ashby under the board identifier Uptimeai, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 11 November 2026, last checked 4 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.