Cloud Engineer
Gnani AI • Bangalore, Karnataka
Job Description
About
Gnani AI is an AI technology company focused on conversational AI, speech recognition, voice assistants, and enterprise AI solutions. The company develops AI-powered voice technologies for businesses across multiple industries, with a strong focus on multilingual and speech-based applications.
Job Overview
Gnani AI is looking for an experienced Cloud Engineer with 4+ years of experience to build, deploy, manage, and optimize cloud infrastructure supporting AI and enterprise applications. The ideal candidate should have strong expertise in cloud platforms, DevOps, automation, containerization, monitoring, security, and scalable infrastructure.
Responsibilities
- Design, deploy, and maintain scalable cloud infrastructure.
- Manage AWS, Azure, or GCP cloud environments.
- Build and maintain CI/CD pipelines for application deployments.
- Automate infrastructure provisioning using Infrastructure as Code.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Monitor cloud infrastructure, applications, and system performance.
- Troubleshoot production, networking, and infrastructure issues.
- Implement cloud security, IAM, and access-control best practices.
- Optimize cloud resources for performance, reliability, and cost.
- Support cloud migration and infrastructure modernization initiatives.
- Implement backup, disaster recovery, and high-availability solutions.
- Collaborate with software engineering, AI/ML, DevOps, and security teams.
- Create and maintain infrastructure documentation and operational procedures.
Requirements
- 4+ years of experience in Cloud Engineering, DevOps, Infrastructure, or related roles.
- Strong hands-on experience with AWS, Azure, or GCP.
- Experience designing and managing cloud infrastructure in production environments.
- Strong knowledge of cloud networking, security, IAM, and monitoring.
- Hands-on experience with Terraform or similar IaC tools.
- Experience with Docker and Kubernetes.
- Good understanding of CI/CD pipelines and DevOps practices.
- Strong scripting skills using Python, Shell, or PowerShell.
- Experience with cloud monitoring, logging, and troubleshooting.
- Knowledge of high availability, backup, and disaster recovery.
- Experience optimizing cloud infrastructure for cost and performance.
- Ability to work effectively with engineering and cross-functional teams.
- Strong analytical and problem-solving skills.
Qualification
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 4+ years of relevant experience in Cloud Engineering, DevOps, or IT Infrastructure.
- AWS, Azure, or GCP certification is preferred.
- Kubernetes, Terraform, or DevOps certification is an added advantage.
- Strong communication and technical problem-solving skills.
How to Apply
Interested candidates can share their updated resume/CV at:
devopshiring@gnani.ai
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