Site Reliability Engineer

Job Brief: Multi-Cloud SRE / DevOps Engineer We are seeking a versatile Multi-Cloud Site Reliability / DevOps Engineer to design, automate, and maintain our geographically distributed infrastructure across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. In this role, you will champion a true multi-cloud strategy by avoiding vendor lock-in, optimizing cloud costs, and deploying highly available, fault-tolerant systems. You will act as the bridge between software development and IT operations, treating infrastructure as a software engineering problem to eliminate manual toil. Core Responsibilities - Multi-Cloud Architecture & Orchestration: Design, provision, and maintain resilient infrastructure across AWS, GCP, and Azure using cloud-agnostic Infrastructure as Code (IaC) tools to ensure environment parity. - CI/CD Pipeline Management: Build, automate, and streamline cross-platform continuous integration and delivery pipelines that seamlessly route workloads to their optimal cloud environments. - Site Reliability & Observability: Establish Service Level Indicators (SLIs) and Objectives (SLOs). Set up centralized, multi-cloud logging and monitoring platforms to trace metrics and proactively diagnose bottlenecks before they impact users. - Incident Response & On-Call: Triage production issues, manage incident bridges, and lead blameless post-mortems to drive continuous systemic improvements. - Disaster Recovery & High Availability: Engineer multi-region and active-active failover strategies between different public cloud providers to prevent single points of failure. - FinOps & Resource Optimization: Monitor utilization patterns, implement automated scaling, and drive cost-saving initiatives across all three cloud platforms. Cloud-Specific Engineering Duties As a multi-cloud engineer, you will be expected to leverage and manage native services across the major providers: Cloud Platform | Key Responsibilities & Target Services | AWS | Manage compute and orchestration using EKS, EC2, and Lambda . Configure network topology (VPC, Route53) and manage access via AWS IAM. Utilize native or agnostic tools (CloudFormation, Terraform) for provisioning. | GCP | Oversee containerized workloads via GKE (Google Kubernetes Engine) . Optimize data pipelines/storage using BigQuery and Cloud Storage. Manage Google Cloud Load Balancing and Anthos for multi-cloud deployments. | Azure | Deploy and scale applications using AKS (Azure Kubernetes Service) . Automate infrastructure management via ARM templates or Bicep . Ensure tight integration with Azure Active Directory (Entra ID) for secure identity management. | Required Qualifications & Skills - Experience: 4+ years in DevOps, SRE, or Cloud Engineering, with hands-on production experience in at least two of the three major cloud providers (AWS, GCP, Azure). - Infrastructure as Code (IaC): Advanced proficiency in Terraform (strongly preferred for multi-cloud parity), alongside familiarity with CloudFormation, ARM/Bicep, or Deployment Manager. - Containerization & Kubernetes: Deep understanding of Docker and production-level experience administering Kubernetes clusters (EKS, GKE, AKS). - Automation/Scripting: Strong programming skills in Python, Go, or Bash for automating systemic operations and interacting with various Cloud APIs. - CI/CD Tooling: Experience with cloud-agnostic deployment tools like GitHub Actions, GitLab CI, ArgoCD, Jenkins, or CircleCI. - Observability Stack: Hands-on experience configuring Prometheus, Grafana, Datadog, or the ELK/EFK stack for unified multi-cloud dashboards. Preferred Qualifications - Experience with Cloud Center of Excellence (CCoE) practices and multi-cloud governance frameworks. - Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, or Azure DevOps Engineer Expert.