We are seeking a Cloud & Data Platform Engineer with strong expertise in configuring and managing cloud infrastructure deploying dataoriented applications and operating within Kubernetes environments. The ideal candidate will bring a robust technical background across a range of tools and technologies to design deploy and maintain scalable efficient and secure platforms.
Key Responsibilities:
- Configure and set up cloud infrastructure on platforms like Azure or AWS.
- Deploy and operate dataoriented applications on Kubernetes.
- Implement scalable infrastructure using an Infrastructure as Code (IaC) approach.
- Design and develop internal developer platforms to enhance efficiency and scalability.
- Set up and manage PaaS cloud platforms such as Databricks and Snowflake.
- Automate application deployments to Kubernetes or equivalent solutions.
- Optimize monitoring and operational workflows using tools like Prometheus and Grafana.
Required Skills and Experience:
Languages:
- Python and Go for development and scripting.
Cloud Infrastructure:
- Handson experience with Azure or AWS.
- Strong proficiency in Kubernetes including deployment and management.
DevOps Tools and Practices:
- Proficiency with Terraform Crossplane and GitHub Actions.
- Experience with Flux Helm Prometheus Grafana Vault and Argo CD.
PlatformasaService (PaaS):
- Experience with Databricks and Snowflake.
Additional Key Competencies:
- Proven track record in implementing scalable infrastructure through IaC methodologies.
- Indepth experience deploying and automating applications on Kubernetes or similar platforms.
- Expertise in building and operating internal developer platforms from scratch.
- A strong understanding of configuring and managing PaaS cloud infrastructures.