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 Solstice Analytics , 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: