### 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 team player who works well with software engineers. - Continuously looks for opportunities to improve reliability and efficiency. ### What a Typical Day Looks Like - Monitor cloud infrastructure and resolve operational issues. - Build and improve CI/CD pipelines. - Deploy and manage Kubernetes workloads. - Optimize infrastructure performance and scalability. - Automate repetitive operational tasks. - Collaborate with development teams on deployment strategies. - Improve monitoring, alerting, and system reliability. In short: You build and maintain secure, scalable, and automated cloud infrastructure that enables engineering teams to deliver software quickly and reliably. ### Key Metrics for Success (KPIs) - High infrastructure uptime and reliability. - Faster and more reliable deployment pipelines. - Reduced manual operational workload through automation. - Scalable and secure cloud infrastructure. - Improved deployment frequency and recovery times. - Strong monitoring coverage and rapid incident resolution. ### Why This Role Stands Out - Fully remote opportunity. - Work with modern cloud-native technologies. - High ownership and technical impact. - Opportunity to solve large-scale infrastructure challenges. - Continuous exposure to automation and platform engineering. - Clear career progression into: - Senior DevOps Engineer - Platform Engineer - Cloud Architect - Site Reliability Engineer (SRE) ### Interview Process 1. Initial Phone Screen 2. Spark Hire Intro Video (3–5 minutes) 3. Technical Interview 4. Final Client Interview 5. Offer & Background Verification ### What Happens After You Apply Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the next step that completes your application and can be recorded whenever it’s convenient for you. Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps the team evaluate your communication style early, making future interviews more meaningful and reducing unnecessary interview rounds. Don’t overthink it—you can record your video as many times as you’d like before submitting it. Only your final submission will be reviewed. Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application. ### Apply Now If you’re passionate about cloud infrastructure, automation, Kubernetes, and building reliable systems that power modern applications, we’d love to hear from you. Apply today and help build scalable, resilient infrastructure for a growing engineering team.