Cloud Consultant at HCLTech — NeverHard

Azure Cloud Site Reliability Engineer (SRE) Calgary, AB (Onsite) Must Have : pMonitoring, scaling, patchin gTroubleshooting production issue sAutomation : Terraform, Scripti Role Overview: The SRE will be responsible for the reliability, availability, and performance of Azure/AWS PaaS and IaaS workloads. They bridge the gap between development and operations, focusing on building automated systems that prevent failures, managing incident responses, and optimizing cloud costs Key Responsibilities s System Reliability & Monitoring : Design, implement, and maintain comprehensive monitoring and alerting systems such as Azure Monitor, AWS CloudWatch, Application Insights, and Log Analytic s.Automation & Toil Reduction : Automate repetitive manual operations (toil) such as environment provisioning, system patching, and scaling. Use IaC tools like Terraform and Ansible to manage infrastructur e.Incident Response & Management : Actively manage incident responses, root cause analysis (RCA), and post-mortem investigations to improve system reliability and minimize mean time to resolution (MTTR .Cloud SRE Agent Integration : Deploy and configure Cloud SRE Agent to automate incident investigation, execute remediation steps (restart, scale, rollback), and manage routine task s.Capacity Planning & Scalability : Analyze usage patterns to optimize cloud resources, ensuring high availability and performance while managing costs via Azure Cost Managemen t.CI/CD & DevOps Collaboration : Integrate automation workflows into CI/CD pipelines (e.g., GitHub Actions or Azure Pipelines) to ensure reliable deployment Required Skills & Qualificatio ns Cloud Platform s: Expert knowledge of Microsoft Azure infrastructure services (Compute, Storage, Networking, AK S).Scripting & Programmin g: Proficiency in Python, Bash, or PowerShell for building automation too ls.Infrastructure as Code (IaC ): Extensive experience with Terraform and ARM templates/Bic ep.Observability Tool s: Experience with Azure Monitor, Grafana, Prometheus, or Datad a +Exposure to multi Cloud environment is mu Typical Day in the Life Activit ies Reviewing Service Level Objectives (SLOs) and error budg ets.Refining auto-scaling rules for Kubernetes clusters based on traffic tre nds.Working with developers to review service architecture and ensure fault tolera nce.Configuring AI-driven alert suppression to reduce alert fati gue.Creating Azure Dashboards to visualize key performance indicators (KP #J-18808-Ljbffr