Site Reliability Engineer

(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.