Cloud Computing Professional
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This position involves designing, building, and maintaining cloud computing systems. The ideal candidate will have expertise in managing cloud resources, including infrastructure provisioning, storage configurations, and security best practices.
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Required Skills:
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1. Proficiency in Kubernetes architecture, concepts, and best practices.
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2. Experience with Kubernetes networking and storage configurations.
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3. Ability to troubleshoot and debug issues within Kubernetes clusters.
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4. Knowledge of Helm for managing Kubernetes applications.
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5. Proficiency in maintaining Helm charts for deploying applications on Kubernetes.
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6. Understanding of Helm chart templates, values files, and dependencies.
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7. Experience with Helm repositories and versioning.
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8. Terraform: Experience in infrastructure provisioning and management using Terraform.
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9. Docker: Understanding the core concepts of Containerization.
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10. Knowledge of building images with Dockerfile.
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11. Proficiency in bash/shell scripting for automation and system maintenance.
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12. Experience with system monitoring, log analysis, and troubleshooting.
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13. Knowledge of networking fundamentals, and system security practices.
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14. Keycloak (integrated with client LDAP system if required): Experience in deploying and configuring Keycloak for identity and access management.
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15. Knowledge of integrating Keycloak with LDAP systems (if required).
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16. Understanding of security best practices for authentication and authorization.
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17. Expertise in PostgreSQL administration, including installation, configuration, and monitoring.
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18. Experience with database backups, replication, and disaster recovery.
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19. Knowledge of SQL and database security.
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20. Expertise in MsSQL administration, including installation, configuration, and monitoring
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21. Experience with database backups, replication, and disaster recovery.
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22. Knowledge of SQL and database security.
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23. Nginx Ingress Controller: Expertise in Nginx administration, including installation, configuration, and monitoring.
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24. Hadoop HDFS and YARN Cluster: Understanding of Hadoop ecosystem components, including HDFS and YARN.
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25. Proficiency in deploying and managing Hadoop clusters.
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26. Experience with cluster resource management and job scheduling.
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27. Knowledge of Hadoop cluster monitoring and troubleshooting.
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28. Apache Spark Libraries for Data ETL: Expertise in Apache Spark for large-scale data processing and ETL (Extract, Transform, Load) operations.
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29. Experience with deploying and configuring Spark clusters.
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30. Proficiency in Spark programming with Python.
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31. Understanding of Spark job optimization and tuning.
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32. Knowledge of Jupyter ecosystem components and their roles.
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33. Experience in deploying and configuring Jupyter Enterprise Gateway.
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34. Proficiency in setting up and customizing JupyterLab and JupyterHub instances.
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35. Understanding of user authentication and access control in Jupyter environments.
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36. Network administration
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37. Knowledge of DNS configuration and management.
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38. Understanding of TLS certificate management.
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39. Experience with load balancing concepts and reverse proxy configuration.
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40. Proficiency in network troubleshooting tools (ping, traceroute, nslookup, dig, netstat).
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41. Understanding of TCP/IP networking.
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42. Knowledge of ingress traffic management in Kubernetes environments.
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43. Automation package usage
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44. Proficiency in understanding the automation package's architecture.
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45. Ability to interpret user requirements and translate them into additional automated workflows.
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46. Ability to configure automation workflows.
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47. Responsibilities
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48. Helm chart implementation and upgrades.
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49. Maintain backups, and disaster recovery procedures.
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50. Ensure continuous monitoring and health checks of all infrastructure components
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51. Seniority level
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52. Mid-Senior level
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53. Employment type
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54. Contract
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55. Job function
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56. Information Technology
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57. Industries
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58. IT Services and IT Consulting