DevOps Engineer

DevOps Engineer (Cloud Infrastructure & Automation) – Remote AWS | Kubernetes | Terraform | CI/CD | Cloud Infrastructure Position Type: Full-Time, Remote Working Hours: Flexible (Aligned with U.S. Business Hours) About the Role At Pavago , one of our clients is hiring a DevOps Engineer to design, automate, and scale modern cloud infrastructure that powers high-performing applications and engineering teams. This is a hands-on engineering role focused on cloud infrastructure, CI/CD automation, Kubernetes, Infrastructure-as-Code (IaC), monitoring, and platform reliability. You’ll work closely with software engineers to improve deployment processes, automate workflows, strengthen infrastructure security, and ensure production environments remain scalable and resilient. If you’re passionate about automation, cloud-native technologies, and building reliable systems that enable engineering teams to move faster, this role is built for you. What You’ll Own Cloud Infrastructure - Design, deploy, and manage cloud infrastructure across: - Amazon Web Services (AWS) - Microsoft Azure - Google Cloud Platform (GCP) - Build scalable, secure, and highly available cloud environments. - Optimize cloud architecture for performance, reliability, and cost efficiency. - Support production infrastructure and disaster recovery planning. Infrastructure as Code (IaC) - Build and maintain infrastructure using: - Terraform - AWS CloudFormation - Pulumi - Manage infrastructure through version-controlled deployments. - Standardize infrastructure provisioning and configuration. - Continuously improve automation and infrastructure consistency. CI/CD & Automation - Design, build, and optimize CI/CD pipelines using: - GitHub Actions - Jenkins - GitLab CI/CD - Automate application deployments, testing, and release workflows. - Improve deployment speed while maintaining reliability. - Reduce manual operational tasks through automation. Containers & Kubernetes - Deploy and manage containerized applications using: - Docker - Kubernetes - Maintain scalable and resilient Kubernetes clusters. - Optimize container orchestration and workload performance. - Support application scalability across multiple environments. Monitoring & Reliability - Implement monitoring and observability using: - Prometheus - Grafana - Elasticsearch - Monitor infrastructure health and application performance. - Investigate incidents and resolve production issues quickly. - Improve system uptime, alerting, and operational visibility. Requirements Must-Have Qualifications Experience - 3+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or Infrastructure Engineering. Core Skills - Hands-on experience with: - AWS, Azure, or GCP - Docker - Kubernetes - CI/CD pipelines - Experience with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Pulumi. - Strong scripting skills using: - Python - Bash - PowerShell - Strong troubleshooting and automation mindset. - Excellent written and verbal English communication skills. Nice to Have - Experience working in Terraform-heavy environments. - Multi-cloud infrastructure experience. - Experience supporting high-traffic or high-availability applications. - Familiarity with microservices architectures. - Cloud cost optimization experience. - Experience with monitoring, observability, and platform engineering. Tools & Technologies - AWS - Microsoft Azure - Google Cloud Platform (GCP) - Kubernetes - Docker - Terraform - AWS CloudFormation - Pulumi - GitHub Actions - Jenkins - GitLab CI/CD - Prometheus - Grafana - Elasticsearch - Python - Bash - PowerShell What Makes You a Strong Fit - Passionate about automation and cloud-native technologies. - Strong problem-solving and troubleshooting abilities. - Comfortable working in production environments. - Proactive and ownership-driven. - Collaborative