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Job Description:
Job Title:DevOps Engineer
Shift Timings:2 PM - 11 PM
Location:Remote, INDIA, Work from Home
Experience Required:4 - 8 Years
We are looking for a Multi-Cloud DevOps Administrator & Infrastructure Engineer responsible for designing, implementing, and managing scalable, secure, and highly available infrastructure across AWS, Microsoft Azure, and Google Cloud Platform (GCP).
The role will work closely with engineering, DevOps, security, and product teams to automate deployments, optimize cloud infrastructure, and maintain CI/CD pipelines while ensuring reliability and cost efficiency.
Key Responsibilities
Design, deploy, and maintain cloud infrastructure across AWS, Azure, and GCP.
Manage compute, networking, storage, IAM, and security configurations across multi-cloud environments.
Implement high availability, disaster recovery, and scalability strategies.
Build and maintain CI/CD pipelines for application and infrastructure deployment.
Automate infrastructure provisioning using Infrastructure as Code (IaC).
Deploy and manage containerized workloads using Docker and Kubernetes.
Manage Kubernetes clusters such as EKS, AKS, and GKE.
Implement monitoring and logging using tools like Prometheus, Grafana, ELK, and cloud-native monitoring tools.
Ensure proactive alerting, observability, and performance monitoring.
Implement cloud security best practices including IAM, RBAC, secrets management, and encryption.
Support security audits, vulnerability scanning, and compliance frameworks.
Monitor and optimize cloud spending across AWS, Azure, and GCP.
Required Skills & Experience
Hands-on experience with AWS, Azure, and/or GCP (at least two).
Strong knowledge of cloud networking, compute, storage, and IAM.
Experience with Git, GitHub, GitLab, or Bitbucket.
Experience with Jenkins, GitHub Actions, or GitLab CI.
Experience with Docker and Kubernetes.
Strong Infrastructure as Code experience with Terraform (must have).
Experience with CloudFormation or ARM Templates.
Experience with Ansible (preferred).
Monitoring tools such as Prometheus, Grafana, ELK.
Scripting with Python and Bash/Shell.
Preferred Qualifications
Experience managing production multi-cloud environments.
Experience with platform engineering or internal developer platforms.
Experience with DevSecOps practices.
Exposure to AI/ML infrastructure workloads (GPU or high compute clusters).
Certifications (Preferred)
AWS Certified Solutions Architect or DevOps Engineer
Microsoft Azure Administrator or Azure DevOps Engineer
Google Cloud Professional Cloud Architect
Certified Kubernetes Administrator (CKA)
Soft Skills
Strong problem-solving and troubleshooting skills
Ability to work independently in fast-paced environments
Strong communication and documentation skills
Experience working with global distributed teams
Work arrangement
No
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