
Cloud Infrastructure Engineer
1 day ago
This role requires a highly skilled DevOps engineer to lead the design and implementation of scalable infrastructure on cloud platforms such as AWS, Azure, or Google Cloud.
- Design and Implement Scalable Infrastructure: Develop secure, high-performance infrastructure using cloud technologies like AWS EC2, S3, Lambda, VPC, IAM, RDS - Aurora MySQL.
- Build and Maintain CI/CD Pipelines: Construct and manage Continuous Integration/Continuous Deployment pipelines with tools like Jenkins, GitLab CI/CD, or GitHub Actions.
- Drive Infrastructure Automation: Automate infrastructure deployment using Terraform, CloudFormation, ARM Templates, Bicep, or Ansible.
- Deploy and Manage Containerized Applications: Deploy containerized applications with Docker and Kubernetes (EKS/AKS) or ECS.
- Monitor System Performance: Monitor system performance, troubleshoot production issues, and ensure high availability and reliability.
- Implement DevSecOps Practices: Ensure secure infrastructure and deployments by implementing DevSecOps best practices.
- Collaborate with Teams: Work closely with development, QA, and operations teams to streamline release processes and improve efficiency.
Requirements:
- Experience: 5+ years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
- AWS and Azure Experience: Hands-on experience with AWS and Azure services, including EC2, S3, Lambda, VPC, IAM, RDS, VMs, Storage Accounts, App Services, Azure Functions, AKS, Azure SQL, Networking, RBAC.
- IaC Skills: Strong skills in Infrastructure as Code (IaC) using Terraform, CloudFormation, ARM Templates/Bicep, or Ansible.
- CI/CD Workflow Skills: Proficiency in designing and managing CI/CD workflows with Jenkins, GitLab, or GitHub Actions.
- Container Orchestration Skills: Experience with Docker and container orchestration platforms like Kubernetes (EKS/AKS) or ECS.
- Scripting Skills: Strong scripting skills in Python, Bash, or Shell.
- Monitoring and Logging Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, Datadog, Azure Monitor, or ELK Stack.
Benefits:
- Opportunity to work with cutting-edge technologies.
- Collaborative team environment.
- Professional growth and development opportunities.
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