Cloud Computing

Job Title:

Cloud Computing Engineer

Location:

Gondia, Maharashtra

Work Mode:

Onsite

Employment Type:

Full-Time

Job SummaryWe are seeking a highly skilled Cloud Computing Engineer to design, deploy, and manage scalable cloud infrastructure and modern CI/CD environments.

The ideal candidate will have strong hands-on experience with public cloud platforms (preferably AWS), Kubernetes, containerization, and DevOps practices, ensuring reliable, secure, and high-performance cloud operations.

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.