Cloud Computing Engineer

NEW OPPORTUNITY || IMMEDIATE TO 30 DAYS JOINERS REQUIRED || Job Title: Cloud Computing Engineer Experience: 2+ Years Location: Gondia, Maharashtra (Onsite) About the Role We are looking for a Cloud Computing Engineer who can independently manage and optimize AWS-based infrastructures. You will work closely with engineering teams to build reliable, scalable, and secure cloud environments, while also ensuring strong observability and smooth operations across production workloads. Roles & Responsibilities Design, deploy, and manage cloud infrastructure across public cloud platforms (AWS preferred; Azure/GCP exposure is a plus). Work closely with developers and application teams to enable smooth and reliable CI/CD pipelines. Hands-on management of Kubernetes (K8s) environments with a strong focus on scaling, performance, and monitoring. Implement and support CI/CD workflows using tools such as Jenkins, GitHub Actions, ArgoCD, or similar platforms. Apply best practices for cloud reliability, high availability, and cost optimization. Implement monitoring, logging, and alerting solutions to ensure system stability and proactive issue resolution. Manage containerized workloads using Docker and Kubernetes platforms. Collaborate across teams to improve deployment automation, CI/CD patterns, and operational excellence. Required Experience & Skills • Strong hands-on experience with at least one major public cloud platform (AWS preferred). • Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, ArgoCD, or equivalent. • Solid hands-on experience with Kubernetes, with emphasis on scaling, monitoring, and operational stability. • Good understanding of CI/CD patterns and best practices. • Mandatory experience with artifact repositories / container registries (at least one of: JFrog Artifactory, Amazon ECR, Docker Hub, or any image registry). • Strong understanding of cloud fundamentals including networking, IAM/security, and storage services. Good to Have • Exposure to public cloud build tools such as AWS CodeBuild or Azure Pipelines. • Experience with Infrastructure as Code tools like Terraform or CloudFormation. • Scripting experience using Python, Bash, or PowerShell. • Knowledge of DevSecOps practices and secure CI/CD pipelines. Preferred Skills • Experience with observability, tracing, and operations tools such as Grafana, Datadog, and AppDynamics • (Datadog experience is a strong plus). • Exposure to LLMOps tools and platforms is a big plus. • Experience working in high-availability, production-grade cloud environments.