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Description supplied by the original job listing.
Responsibilities:
Manage and maintain cloud infrastructure across GCP, AWS, and Azure environments.
Deploy, configure, and support containerised applications using Docker.
Work with Kubernetes (K8S) for application orchestration and cluster management.
Build and maintain CI/CD pipelines to automate software deployment processes.
Develop and maintain automation scripts using Python.
Monitor system performance, availability, and reliability using Grafana and related monitoring tools.
Troubleshoot infrastructure, deployment, and application issues.
Collaborate with development teams to improve deployment processes and operational efficiency.
Implement infrastructure best practices, security controls, and cost optimisation strategies.
Participate in incident management and root cause analysis.
Requirements:
1-3 years of hands-on experience in a DevOps/SRE/Cloud Engineering role.
Strong understanding of Kubernetes (K8S) fundamentals.
Experience with at least one cloud platform (GCP preferred, AWS, or Azure).
Hands-on experience with Docker and containerised workloads.
Good understanding of CI/CD tools and deployment pipelines.
Experience in Python scripting for automation tasks.
Knowledge of monitoring and observability tools such as Grafana.
Understanding of Linux systems, networking, and troubleshooting.
Familiarity with Infrastructure as Code concepts is a plus.
Experience
1-3 yrs
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