DevOps Engineer

200 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

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About the Company:



About the Role:



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 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



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:


Equal Opportunity Statement:


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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