Senior Cloud Site Reliability Engineer AP

Site Reliability Engineering & Operational Excellence

• Drive and implement Site Reliability Engineering (SRE) best practices across cloud platforms and services.
• Define, maintain, and improve:
  • Service Level Indicators (SLIs)
  • Service Level Objectives (SLOs)
  • Service Level Agreements (SLAs)
  • Error Budgets
• Improve service reliability, resiliency, scalability, and operational efficiency.
• Establish operational standards, reliability governance, and production readiness practices.
• Conduct Root Cause Analysis (RCA), postmortems, and reliability improvement initiatives.
• Participate in on-call rotations, incident management, and major incident resolution activities.
• Continuously improving operational processes to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR)

Observability, Monitoring & Telemetry

• Design, implement, and maintain enterprise observability and telemetry platforms.
• Build operational dashboards, reliability scorecards, and service health monitoring solutions.
• Configure proactive alerting, anomaly detection, and incident correlation mechanisms.
• Implement centralized monitoring and telemetry using:
  • Grafana
  • Prometheus
  • Azure Monitor
  • Log Analytics
  • ELK Stack / ElasticSearch
  • Power BI dashboards
• Develop actionable operational metrics and telemetry reporting for engineering and leadership teams.
• Enhance visibility into infrastructure, application, Kubernetes, and platform health.

Automation & Auto-Healing Engineering

• Drive automation-first operational practices across infrastructure and platform services.
• Develop Infrastructure-as-Code (IaC) solutions using:
  • Terraform
  • ARM/Bicep
  • Ansible
• Build operational automation scripts using:
  • Python
  • Bash
  • PowerShell
• Develop self-healing and auto-remediation capabilities for recurring operational incidents.
• Automate infrastructure provisioning, monitoring, scaling, backup, recovery, and deployment workflows.
• Reduce manual operational effort and improve engineering productivity through intelligent automation.

Collaboration & Engineering Partnership

• Collaborate closely with:
  • Cloud Engineering teams
  • Product Engineering teams
  • DevEx teams
  • Security teams
  • DBA teams
  • Operations teams
• Support engineering teams in improving production readiness and operational maturity.
• Contribute to continuous improvement initiatives, reliability reviews, and operational excellence programs.

Bring your passion and together we will shine. It would also be great if you had the following:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience/certification).
• Knowledge of Python, scripting, or Infrastructure-as-Code tools (e.g., Terraform, Ansible, ARM/Bicep).
• Experience managing cloud platforms (e.g., Azure, AKS, Pivotal Cloud Foundry, or equivalent).
• Strong understanding of Kubernetes and containerization concepts.
• Experience with application packaging, deployment automation, and release management.
• Solid knowledge of relational databases (MS-SQL) and exposure to NoSQL technologies (e.g., Redis, ElasticSearch, MongoDB).
• Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, or similar).
• Familiarity with monitoring and logging tools (Grafana, ELK stack, Prometheus, PowerBI, etc.).
• Proficiency with Git and modern branching/merging workflows.
• Strong Linux administration and troubleshooting skills.
• Excellent problem-solving, communication, and teamwork skills.

Work Environment and Physical Demands

• Duties are performed in a typical office environment while at a desk or computer table.
• Duties require the ability to use a computer, communicate over the telephone, and read printed material, in a quiet and professional setting.
• Duties may require being on call periodically and working outside normal working hours (evenings and weekends).