Cloud DevOps Specialist

2 weeks ago


Pune, Maharashtra, India Flipped Full time

Job Summary

We are seeking an experienced Cloud DevOps Specialist to support the deployment and management of cloud-based software that remotely operates and monitors millions of radio devices. This role requires on-site work in our Pune office.

Key Responsibilities

  • Environment Management: Administer and optimize development, test, and staging environments within AWS.
  • Cluster Management: Set up and manage Kubernetes and Istio-based clusters for efficient application deployment and management.
  • Service Configuration: Configure and maintain additional services such as AWS Kafka, Elasticsearch, Redis, and RDS databases to support application functionality.
  • CI/CD Pipeline Implementation: Develop and maintain continuous integration and deployment (CI/CD) pipelines to streamline and automate release processes.
  • Automation and Scaling: Automate monitoring, scaling, and failover processes to ensure reliability and uptime for millions of connected devices.
  • Upgrades and Recovery: Implement non-disruptive upgrades, rollbacks, and disaster recovery mechanisms to ensure seamless operations.

Required Skills & Experience

  • Cloud DevOps Expertise: Minimum of 8+ years of hands-on experience in cloud DevOps, with an emphasis on AWS infrastructure.
  • CI/CD Tools: Proficiency in CI/CD pipeline creation and maintenance using GitLab.
  • Infrastructure as Code: Experience with Terraform or similar tools to automate infrastructure provisioning and management.
  • Scripting and Automation: Strong Python skills for automating various administrative and deployment tasks.
  • Containerization and Orchestration: Hands-on experience with Docker containers, Kubernetes clusters, Istio service mesh, and Helm charts for seamless deployment.

Experience with Additional Technologies

  • Elasticsearch and Kibana for log management and analytics.
  • Databases such as PostgreSQL and MySQL for data storage.
  • Apache Kafka clusters for data streaming.
  • Redis for caching and performance optimization.

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