Cloud Infrastructure Specialist

Cloud Computing Professional

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.

Required Skills:

• ">
• Proficiency in Kubernetes architecture, concepts, and best practices.">
• Experience with Kubernetes networking and storage configurations.">
• Ability to troubleshoot and debug issues within Kubernetes clusters.">
• Knowledge of Helm for managing Kubernetes applications.">
• Proficiency in maintaining Helm charts for deploying applications on Kubernetes.">
• Understanding of Helm chart templates, values files, and dependencies.">
• Experience with Helm repositories and versioning.">
• Terraform: Experience in infrastructure provisioning and management using Terraform.">
• Docker: Understanding the core concepts of Containerization.">
• Knowledge of building images with Dockerfile.">
• Proficiency in bash/shell scripting for automation and system maintenance.">
• Experience with system monitoring, log analysis, and troubleshooting.">
• Knowledge of networking fundamentals, and system security practices.">
• Keycloak (integrated with client LDAP system if required): Experience in deploying and configuring Keycloak for identity and access management.">
• Knowledge of integrating Keycloak with LDAP systems (if required).">
• Understanding of security best practices for authentication and authorization.">
• Expertise in PostgreSQL administration, including installation, configuration, and monitoring.">
• Experience with database backups, replication, and disaster recovery.">
• Knowledge of SQL and database security.">
• Expertise in MsSQL administration, including installation, configuration, and monitoring">
• Experience with database backups, replication, and disaster recovery.">
• Knowledge of SQL and database security.">
• Nginx Ingress Controller: Expertise in Nginx administration, including installation, configuration, and monitoring.">
• Hadoop HDFS and YARN Cluster: Understanding of Hadoop ecosystem components, including HDFS and YARN.">
• Proficiency in deploying and managing Hadoop clusters.">
• Experience with cluster resource management and job scheduling.">
• Knowledge of Hadoop cluster monitoring and troubleshooting.">
• Apache Spark Libraries for Data ETL: Expertise in Apache Spark for large-scale data processing and ETL (Extract, Transform, Load) operations.">
• Experience with deploying and configuring Spark clusters.">
• Proficiency in Spark programming with Python.">
• Understanding of Spark job optimization and tuning.">
• Knowledge of Jupyter ecosystem components and their roles.">
• Experience in deploying and configuring Jupyter Enterprise Gateway.">
• Proficiency in setting up and customizing JupyterLab and JupyterHub instances.">
• Understanding of user authentication and access control in Jupyter environments.">
• Network administration">
• Knowledge of DNS configuration and management.">
• Understanding of TLS certificate management.">
• Experience with load balancing concepts and reverse proxy configuration.">
• Proficiency in network troubleshooting tools (ping, traceroute, nslookup, dig, netstat).">
• Understanding of TCP/IP networking.">
• Knowledge of ingress traffic management in Kubernetes environments.">
• Automation package usage">
• Proficiency in understanding the automation package's architecture.">
• Ability to interpret user requirements and translate them into additional automated workflows.">
• Ability to configure automation workflows.">
• Responsibilities">
• Helm chart implementation and upgrades.">
• Maintain backups, and disaster recovery procedures.">
• Ensure continuous monitoring and health checks of all infrastructure components">
• Seniority level">
• Mid-Senior level">
• Employment type">
• Contract">
• Job function">
• Information Technology">
• Industries">
• IT Services and IT Consulting