
Cloud Platforms Professional
2 days ago
We are looking for a skilled Cloud Platforms Engineer to join our Data Platform team. As part of this journey, we aim to build, support, and enhance our cloud platforms and CI/CD pipelines.
You will work closely with the cross-functional Data Platform team, collaborating with data engineers, architects, and analysts to ensure our infrastructure and pipelines meet the needs of high-performance, scalable, and secure data solutions. You will bridge cloud capabilities with data platform requirements, enabling the delivery of robust, automated, and reliable environments for data-driven applications.
This role requires a strong background in cloud computing, automation, and DevOps. The ideal candidate will have hands-on experience with Terraform, PowerShell, Unix scripting, and container technologies (e.g., Kubernetes). Proficiency in managing CI/CD pipelines (Octopus Deploy, TeamCity, Git, GitHub Actions) is also essential.
We encourage applications from experienced professionals who can bring diverse perspectives to our thinking and conversation. It's vital to us that we strive to have a workforce that is diverse in the widest sense.
- Design, build, and maintain infrastructure and CI/CD pipelines that support data services, analytics, and machine learning workloads.
- Mentor and guide team members on automation, tooling, and best practices.
- Assess and build new monitoring capabilities for both on-premises and cloud-hosted data environments.
- Implement automation solutions using Terraform, PowerShell, Unix scripting, and container technologies (e.g., Kubernetes).
- Manage the creation and optimisation of CI/CD pipelines (Octopus Deploy, TeamCity, Git, GitHub Actions).
- Work with tools such as Grafana, Splunk, and Site24x7 for operational visibility and proactive performance management.
- Implement testing and automation frameworks for data workflows and platform services. Collaborate with the Data Platform team on security and compliance measures.
- Provide 2nd-level DevOps support, particularly for data platform-related services and applications.
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