Job Description

Site Reliability Engineer

Location: Phoenix, AZ

(SRE) to join Cloud Operations and Observability team. You'll be instrumental in driving resiliency, performance, automation, and AI-driven observability across hybrid cloud environments (Azure and GCP). You will design, implement, and manage infrastructure with a strong focus on Kubernetes, and integrating AI/LLM solutions into observability and operational workflows.

Key Responsibilities:

• Build and operate scalable, secure, and highly available infrastructure in Azure and GCP.
• Design and maintain observability platforms leveraging Splunk, OpenTelemetry, and cloud-native monitoring tools.
• Develop and support AI/LLM-driven automation solutions to improve incident triage, alert correlation, and root cause analysis.
• Partner with application and data teams to define SLOs, SLIs, and error budgets.
• Drive operational excellence through automation, chaos testing, and proactive reliability improvements.
• Optimize Kubernetes environments (GKE/AKS) for performance, security, and cost-efficiency.
• Integrate observability data pipelines with LLMs for anomaly detection, summarization, and proactive remediation.
• Participate in on-call rotations, incident response, and postmortem reviews.
• Implement runbooks, auto-remediation scripts, and AI copilots for operations.

Required Qualifications:

• 8+ years of experience as an SRE.
• Strong expertise in Azure and GCP cloud platforms (certifications a plus).
• Proficient in Splunk (Enterprise + Observability) for monitoring, alerting, and log analytics.
• In-depth knowledge of Kubernetes (AKS, GKE), Helm, and container lifecycle.
• Familiarity with AI/ML and LLM-based tools (e.g., OpenAI, Hugging Face, Azure OpenAI) for observability or automation use cases.
• Experience with CI/CD pipelines, GitOps, and secure deployment practices.
• Programming/scripting skills in Python, Go, or Bash.
• Strong understanding of SRE principles: SLAs, SLIs, SLOs, error budgets, and incident management.

Preferred Qualifications:

• Experience building AI-enabled runbooks or copilots.
• Exposure to FinOps or cost-optimization strategies in cloud environments.
• Knowledge of distributed tracing and event correlation using OpenTelemetry.
• Familiarity with Kafka, Pub/Sub, or other messaging systems for observability data.

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