Site Reliability Engineer (AI & Automation)

Job Summary

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in AI-driven operations, automation, and cloud platforms. The ideal candidate will be responsible for ensuring high availability, performance, scalability, and reliability of mission-critical systems while leveraging AI/ML and automation tools to enhance operational efficiency and incident management.

Key Responsibilities

Reliability & Operations

• Ensure high availability, scalability, and performance of production systems.
• Define and manage SLIs, SLOs, and SLAs.
• Perform root cause analysis (RCA) and implement preventive measures.
• Manage incident response, problem management, and postmortems.

Automation & AI Integration

• Design and implement AI-driven monitoring, alerting, and anomaly detection solutions.
• Automate repetitive operational tasks using scripts, workflows, and orchestration tools.
• Leverage AIOps platforms to predict and prevent incidents.
• Build self-healing systems using automation frameworks.

Cloud & Infrastructure

• Manage and optimize infrastructure on cloud platforms (GCP/AWS/Azure).
• Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
• Ensure resilience, failover strategies, and disaster recovery readiness.
  
  Required Skills & Qualifications
• Technical Skills
• Strong experience in Linux/Unix systems administration
• Proficiency in Python, Java, or Go for automation
• Hands-on experience with containerization (Docker, Kubernetes)
• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
• Expertise in cloud platforms (GCP preferred, AWS/Azure acceptable)
• Knowledge of Infrastructure as Code (Terraform, Ansible, Puppet)
• AI & Automation
• Experience with AIOps tools (e.g., Dynatrace, Moogsoft, Datadog AI features)
• Understanding of machine learning basics for anomaly detection
• Experience in building or integrating automation frameworks and bots
• Familiarity with chatbots, auto-remediation scripts, and predictive analytics
• SRE Practices

• Strong understanding of SRE principles

• Experience with incident management and reliability engineering
• Knowledge of capacity planning and performance tuning