ExecutivePlacements.com
Sr. Site Reliability Engineer
ExecutivePlacements.com, Phoenix, Arizona, United States, 85003
Senior Site Reliability Engineer (SRE)
Location:
Phoenix, AZ
Join the Cloud Operations and Observability team as an SRE. You will drive resiliency, performance, automation, and AI‑driven observability across hybrid Azure and GCP environments. Your focus will be on designing, implementing, and managing Kubernetes infrastructure 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 post‑mortems.
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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
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Phoenix, AZ
Join the Cloud Operations and Observability team as an SRE. You will drive resiliency, performance, automation, and AI‑driven observability across hybrid Azure and GCP environments. Your focus will be on designing, implementing, and managing Kubernetes infrastructure 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 post‑mortems.
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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
#J-18808-Ljbffr