Cloud Infrastructure Engineer

1 day ago

Karachi, Sindh, Pakistan beBee Careers Full time

We are seeking a highly skilled DevOps Engineer to join our team. The ideal candidate will have a solid understanding of infrastructure and deployment pipelines, and be able to design and implement efficient solutions.

Main Job Duties:
  • Design and develop CI/CD pipelines using tools like Jenkins.
  • Deploy and orchestrate containerized microservices with Docker and Kubernetes.
  • Set up and maintain data infrastructure using tools such as Apache NiFi and Spark.
  • Automate infrastructure provisioning and configuration with Ansible and scripting (Bash/Python).
  • Monitor system performance and ensure high availability using Grafana, Prometheus, and Percona.
  • Manage and scale distributed infrastructure with a focus on fault tolerance and performance.
  • Identify potential and existing performance bottlenecks, and create and execute mitigation strategies.
  • Automate deployments across environments while maintaining reliability and security.
Qualifications:
  • Bachelor's degree in Computer Science, IT, Computer Engineering, Software Engineering, or related fields.
Requirements:
  • At least 5 years of experience in DevOps, system administration, or cloud infrastructure management.
Key Skills:
  • Strong experience with Docker, Kubernetes, and container orchestration.
  • Hands-on experience with virtualization technologies such as VMware and VirtualBox.
  • Expertise in configuring and managing Nginx for web hosting and load balancing.
  • Experience working with distributed datastores and data warehousing solutions such as MongoDB, MySQL, Vertica, ClickHouse, or similar.
  • Solid understanding of cloud computing platforms, including local cloud providers.
  • Experience with Apache NiFi or Apache Spark for data pipeline automation.
  • Expert knowledge of Linux-based operating systems and system-level troubleshooting.
  • Experience with Jenkins for CI/CD pipeline automation.
  • Hands-on experience with Ansible for automation and configuration management.

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