03 Aug
|
HCLTech
|
Calgary
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 Platforms: Expert knowledge of Microsoft Azure infrastructure services (Compute, Storage, Networking, AK
- S).Scripting & Programming: 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 Tools: Experience with Azure Monitor, Grafana, Prometheus, or Datad
- a +Exposure to multi Cloud setting 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
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📌 Cloud Consultant (Calgary)
🏢 HCLTech
📍 Calgary