Site Reliability Engineer

Role & responsibilities

Job Summary:

SRE AI Ops Engineer

Key Responsibilities:

• Leverage AI Ops tools

  to automatically detect, analyze, and triage incidents across the infrastructure and application landscape.

• Perform advanced root cause analysis

  using AI/ML-driven observability and incident correlation tools.

• Develop self-healing capabilities

  using AI Ops platforms or by writing automation scripts (e.g., in Python, Bash, or similar languages).

• Build and maintain dashboards

  for cloud infrastructure monitoring, service performance metrics, and operational analytics.

• Implement intelligent alerting and correlation

  mechanisms to reduce noise and improve incident detection accuracy.

• Create and manage a knowledge base

  for recurring issues and automate their resolution using bots and AI agents.

• Collaborate with SRE, DevOps, and Application teams

  to ensure end-to-end observability and operational excellence.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
  
• 3+ years of experience in SRE, DevOps, or IT Operations, with a focus on observability or AI Ops.
  
• Hands-on experience with

  AI Ops platforms

  (e.g., Moogsoft, BigPanda, OpsRamp, Dynatrace, IBM Watson AIOps, or similar).
• Proficiency in

  scripting languages

  (Python, Shell, etc.) to automate operational tasks and implement self-healing solutions.
• Strong understanding of

  cloud infrastructure monitoring

  (AWS, Azure, GCP) and performance management.
• Experience with

  dashboard and analytics tools

  (e.g., Grafana, Kibana, Power BI, or cloud-native dashboards).
• Knowledge of ITIL processes and experience integrating with ITSM platforms (e.g., ServiceNow).
  
• Excellent problem-solving, analytical thinking, and communication skills.
  

Preferred Qualifications:

• Exposure to

  machine learning or data analytics

  frameworks used in operations.
• Familiarity with

  incident management bots

  or chatops tools (e.g., Slack bots, MS Teams bots).
• Experience working in an agile environment with CI/CD pipelines and DevOps best practices.
  
• Certification in cloud platforms (AWS/GCP/Azure) or AI Ops tools is a plus.