Here’s a well-structured Job Description for a Cloud Engineer – L3 (Senior Level):
We are looking for a highly skilled Cloud Engineer – L3 to design, implement, and manage scalable, secure, and reliable cloud infrastructure. The role involves handling complex cloud environments, troubleshooting critical issues, and guiding L1/L2 engineers. The ideal candidate should have strong expertise in cloud platforms, automation, and infrastructure as code.
Design, deploy, and manage cloud infrastructure on platforms such as AWS, Azure, or GCP
Handle L3-level support issues including performance, security, and availability incidents
Architect scalable and cost-effective cloud solutions aligned with business requirements
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or ARM templates
Automate deployment pipelines and operational tasks using CI/CD tools
Monitor system performance, troubleshoot issues, and optimize cloud resources
Ensure high availability, disaster recovery, and backup strategies are in place
Implement and maintain cloud security best practices (IAM, encryption, compliance)
Collaborate with DevOps, security, and development teams for seamless deployments
Mentor and support L1/L2 engineers and review their work
Participate in incident management, root cause analysis (RCA), and postmortems
Maintain documentation for architecture, processes, and configurations
Bachelor’s degree in Computer Science, IT, or related field
5–8 years of overall IT experience with at least 3+ years in cloud engineering
Hands-on experience with at least one major cloud platform (AWS / Azure / GCP)
Strong knowledge of networking (VPC, subnets, load balancers, DNS)
Experience with containerization (Docker) and orchestration (Kubernetes)
Proficiency in scripting languages such as Python, Bash, or PowerShell
Experience with Infrastructure as Code (Terraform preferred)
Familiarity with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps
Strong troubleshooting and analytical skills
Cloud certifications (AWS Solutions Architect, Azure Administrator, GCP Professional)
Experience with monitoring tools (Prometheus, Grafana, CloudWatch, etc.)
Knowledge of security frameworks and compliance standards (ISO, SOC2, etc.)
Experience in cost optimization and FinOps practices
Exposure to microservices architecture
System uptime and availability
Mean Time to Resolution (MTTR)
Deployment success rate
Infrastructure cost optimization
Incident reduction and RCA effectiveness
If you want, I can customize this JD for a specific cloud platform (AWS-only, Azure-focused), or tailor it for a startup vs enterprise environment.
