Sr. Devops Engineer- Azure & AWS

Jobs
codvo.ai

codvo.ai

- Full Time

Posted on: 16 December, 2024

Sr. Devops Engineer- Azure & AWS

Azure and AWS Infrastructure Management:

  • Design, implement, and manage scalable, reliable, and secure cloud infrastructure on Azure and AWS.
  • Extensive experience with core Azure services such as Azure Virtual Machines, Azure App Services, Azure SQL Database, Azure Active Directory, Azure Storage, Azure Kubernetes Service and Azure Networking.
  • CI/CD Pipelines: Develop and maintain CI/CD pipelines using Jenkins and Bitbucket Pipelines, ensuring efficient and error-free deployments.
  • Kubernetes (AKS): Deploy, manage, and scale containerized applications using Azure Kubernetes Service (AKS).
  • Helm Charts: Create, maintain, and manage Helm charts for Kubernetes deployments.
  • Infrastructure as Code (IaC): Automate infrastructure provisioning and management using Terraform.
  • Monitoring and Logging: Implement monitoring, logging, and alerting solutions using the ELK stack (Elasticsearch, Logstash, Kibana) to ensure the health and performance of the infrastructure and applications.
  • Security: Implement security best practices in all aspects of the DevOps lifecycle, including infrastructure, CI/CD pipelines, and applications.
  • Troubleshooting: Diagnose and resolve infrastructure and application issues, ensuring minimal downtime and optimal performance.

Qualifications:

  • Experience: Minimum 6 years of experience in a DevOps role.
  • Azure and AWS: Extensive experience with Azure and AWS services and infrastructure.
  • CI/CD: Strong experience with Jenkins and Bitbucket Pipelines or other CI/CD tools.
  • Kubernetes: Proficiency with Azure Kubernetes Service (AKS) and container orchestration.
  • Helm: Experience with Helm charts for managing Kubernetes applications.
  • Terraform: Proficiency in using Terraform for Infrastructure as Code (IaC).
  • Scripting and Automation: Proficiency in scripting languages such as Bash, Python, or PowerShell.
  • Monitoring Tools: Experience with the ELK stack (Elasticsearch, Logstash, Kibana) for monitoring and logging.
  • Version Control: Proficiency with version control systems, particularly Git and Bitbucket.
  • Soft Skills: Strong problem-solving skills, excellent communication skills, and the ability to work in a team environment.

Location : Remote

Work Timings : 2:30PM-11:30PM

Source ⇲ remotive.com

Tags:
ai
ml
Share the job:

Related Jobs

AI Researcher​/LLM - remote
AI Researcher​/LLM - remote

Full Time - 🌎 Remote