We are seeking an experienced DevOps Engineer to design, implement, and manage scalable, secure, and highly available cloud solutions across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
This role requires deep expertise in multi-cloud architecture, DevOps automation, Kubernetes, observability, and infrastructure as code, with a strong focus on enterprise-scale deployments, cost optimization, and reliability engineering (SRE practices).
Key Responsibilities
Cloud Architecture & Design
- Design and implement multi-cloud architectures across GCP, AWS, and Azure
- Define enterprise cloud landing zones and multi-project structures
- Build high availability, fault-tolerant, and disaster recovery (DR) solutions
- Architect secure and scalable network topologies (VPCs, subnets, peering, hybrid connectivity)
Infrastructure as Code (IaC)
- Develop reusable infrastructure modules using Terraform / Terragrunt
- Implement modular, scalable, and DRY architecture patterns
- Manage remote state, version control, and environment separation
- Automate provisioning across multiple environments and projects
DevOps & CI/CD Automation
- Design and manage CI/CD pipelines using:
- GitHub Actions / GitLab CI / Jenkins / Azure DevOps
- Automate:
- Infrastructure deployments
- Application release pipelines
- Implement blue-green / canary deployment strategies
Kubernetes & Containerization
- Manage Kubernetes platforms:
- Deploy workloads via Helm, manifests, and Kustomize
- Troubleshoot production issues:
- Ensure high availability and scalability of containerized applications
Monitoring, Logging & Observability
- Implement centralized observability using:
- GCP Cloud Monitoring / AWS CloudWatch / Azure Monitor
- Configure:
- Metrics, dashboards, alerting policies
- Log-based metrics and custom alerts (CPU, memory, DB, network latency)
- Design centralized logging architecture (logs, sinks, retention policies)
- Enable team-based alert routing (Email, Slack, PagerDuty)
Security & Compliance
- Implement IAM roles, RBAC, and least privilege access
- Manage secrets using:
- Secret Manager / Azure Key Vault / AWS Secrets Manager
- Ensure compliance with enterprise standards:
- ISO, SOC2, HIPAA (where applicable)
- Implement encryption, audit logging, and access governance
Cost Optimization & Governance
- Monitor and optimize cloud costs across multiple projects
- Configure:
- Budget alerts
- Billing monitoring and cost allocation models
- Identify and implement resource optimization strategies
Automation & SRE Practices
- Define and implement SLIs, SLOs, and error budgets
- Build automated alerting and remediation workflows
- Improve platform reliability and system uptime
- Support incident response and root cause analysis (RCA)
Scripting knowledge on python, node.js and Golang will be added advantage
We are seeking an experienced DevOps Engineer to design, implement, and manage scalable, secure, and highly available cloud solutions across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
This role requires deep expertise in multi-cloud architecture, DevOps automation, Kubernetes, observability, and infrastructure as code, with a strong focus on enterprise-scale deployments, cost optimization, and reliability engineering (SRE practices).
Key Responsibilities
Cloud Architecture & Design
- Design and implement multi-cloud architectures across GCP, AWS, and Azure
- Define enterprise cloud landing zones and multi-project structures
- Build high availability, fault-tolerant, and disaster recovery (DR) solutions
- Architect secure and scalable network topologies (VPCs, subnets, peering, hybrid connectivity)
Infrastructure as Code (IaC)
- Develop reusable infrastructure modules using Terraform / Terragrunt
- Implement modular, scalable, and DRY architecture patterns
- Manage remote state, version control, and environment separation
- Automate provisioning across multiple environments and projects
DevOps & CI/CD Automation
- Design and manage CI/CD pipelines using:
- GitHub Actions / GitLab CI / Jenkins / Azure DevOps
- Automate:
- Infrastructure deployments
- Application release pipelines
- Implement blue-green / canary deployment strategies
Kubernetes & Containerization
- Manage Kubernetes platforms:
- Deploy workloads via Helm, manifests, and Kustomize
- Troubleshoot production issues:
- Ensure high availability and scalability of containerized applications
Monitoring, Logging & Observability
- Implement centralized observability using:
- GCP Cloud Monitoring / AWS CloudWatch / Azure Monitor
- Configure:
- Metrics, dashboards, alerting policies
- Log-based metrics and custom alerts (CPU, memory, DB, network latency)
- Design centralized logging architecture (logs, sinks, retention policies)
- Enable team-based alert routing (Email, Slack, PagerDuty)
Security & Compliance
- Implement IAM roles, RBAC, and least privilege access
- Manage secrets using:
- Secret Manager / Azure Key Vault / AWS Secrets Manager
- Ensure compliance with enterprise standards:
- ISO, SOC2, HIPAA (where applicable)
- Implement encryption, audit logging, and access governance
Cost Optimization & Governance
- Monitor and optimize cloud costs across multiple projects
- Configure:
- Budget alerts
- Billing monitoring and cost allocation models
- Identify and implement resource optimization strategies
Automation & SRE Practices
- Define and implement SLIs, SLOs, and error budgets
- Build automated alerting and remediation workflows
- Improve platform reliability and system uptime
- Support incident response and root cause analysis (RCA)
Scripting knowledge on python, node.js and Golang will be added advantage
Bachelor's/Master's
