About the role
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.