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).
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
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
GKE, EKS, AKS
Deploy workloads via Helm, manifests, and Kustomize
Troubleshoot production issues
Ensure high availability and scalability of containerized applications
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
GKE, EKS, AKS
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
Job description provided by EXL Service.
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