Demo

Site Reliability Engineer

Recurring Decimal
Phoenix, AZ Full Time
POSTED ON 5/4/2026
AVAILABLE BEFORE 6/3/2026

(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.

Salary.com Estimation for Site Reliability Engineer in Phoenix, AZ
$73,011 to $95,356
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