Description:

• Requirements
• • Bachelor’s degree in Computer Science, related Engineering field, or equivalent experience
• • 4+ years of experience in public cloud infrastructure, especially Azure and AWS.
• • Good understanding of cloud infrastructure, and different deployment models
• • Should be familiar with cloud networking and security solutions like load balancer, firewall, WAF, CSPM, security group, etc.
• • Good understanding of identity and access management solutions like Active directory, Azure AD, conditional access, IAM and other vendor specific solutions
• • Good understanding of Linux and windows based systems
• • Understanding of SQL & NoSQL Databases including IAAS and PAAS models.
• • Experience in policy management, governance, monitoring and alerts
• • Knowledge in microservices, DevOps and IaC (Terraform and Ansible).
• • Azure AZ-104 or AWS administrator certification would be an advantage
• • Excellent communication and interpersonal skills
• Job responsibilities
• • Assist application team to deploy various solutions in the cloud environment.
• • Maintain infrastructure security and governance as per the client requirement and standards.
• • Support other team members (database, network, security, etc.) to configure and maintain respective solution.
• • Actively Involve in discussions related to new solution implementation, design creation and all other discussions related to cloud infrastructure.
• • POC deployment, documentation, and technical presentation.

Requirements:

• Linux Hosting and Administration
• • Install, configure, and maintain Linux servers, ensuring optimal performance and security.
• • Handle Linux-based hosting solutions, including web servers, databases, and other services.
• • Apply patches and updates to Linux servers as required, and automate routine tasks.
• • Monitor system performance, troubleshoot issues, and conduct root cause analysis for any server downtime.
• Kubernetes Operations
• • Deploy, manage, and maintain containerized applications using Kubernetes.
• • Create and manage Kubernetes manifests, helm charts, and operators for complex application architectures.
• • Scale applications based on resource utilization and requirements.
• • Monitor the health and performance of Kubernetes clusters and take corrective actions as needed.
• DevOps Integration
• • Implement and maintain CI/CD pipelines for automated testing and deployments.
• • Assist in incorporating containerization and orchestration into the DevOps process.
• Rancher/OpenShift Expertise (Nice to Have)
• • Experience in deploying and managing Kubernetes clusters using Rancher or OpenShift.
• • Implement monitoring, logging, and auto-scaling solutions in Rancher or OpenShift environments.
• Application Support
• • Gain a thorough understanding of the applications running within containers to provide first-level application support.
• • Collaborate with development teams to debug application issues in staging and production environments.
• Azure Infrastructure
• o Deploy and manage resources on Azure, including but not limited to VMs, databases, and Kubernetes clusters.
• o Implement Infrastructure as Code practices using Azure Resource Manager (ARM) templates or terraform
• Monitoring and Alerting Using Open-Source Tools (Any one of the following)
• ELK Stack
• o Implement and manage the ELK (Elasticsearch, Logstash, Kibana) stack for real-time log aggregation, monitoring, and analysis.
• o Customize Kibana dashboards for different system metrics and logs to aid in quick issue resolution.
• • Grafana
• o Develop and maintain Grafana dashboards to visualize key performance indicators and system metrics.
• o Integrate Grafana with other data sources and monitoring tools for comprehensive analytics.
• • Loki
• o Set up and manage Loki for aggregating and storing logs.
• o Integrate Loki with Grafana for unified querying and visualization of metrics and logs.
• • Prometheus
• o Deploy and configure Prometheus for monitoring system and application metrics.
• o Create custom Prometheus queries and alerts to catch anomalies and system performance issues.
• • Mimir/Cortex (prefereable)
• o Implement Mimir or Cortex for enhanced long-term storage and scalability of Prometheus metrics.