Large Scale Observability Expert

2 days ago


Lucknow, Uttar Pradesh, India beBeeELKSpecialist Full time ₹ 40,00,000 - ₹ 50,00,000

As a Senior Site Reliability Engineer, you will design and manage large-scale observability infrastructure using the ELK stack. This high-impact engineering opportunity focuses on performance, observability, and operational excellence at scale.

Key Responsibilities:
  • Design and Optimize Cloud Infrastructure: Architect scalable, fault-tolerant systems on Microsoft Azure
  • Automate Everything: Use Terraform, Ansible, and GitHub Actions to streamline deployment and configuration
  • Ensure Reliability and Performance: Proactively monitor, troubleshoot, and resolve production issues using Prometheus, Grafana, and Azure Monitor
  • Enhance Security and Compliance: Implement security best practices across DevOps workflows
  • Collaborate and Innovate: Work closely with engineering, security, and operations teams to drive automation and efficiency
  • Manage and scale large ELK clusters handling 2–3+ TB/day log volumes, ensuring high availability and performance
  • Optimize ELK architecture: Implement efficient index lifecycle policies, shard strategies, and hot-warm-cold tiered storage
  • Build and tune log pipelines: Scale Logstash and Beats pipelines across distributed environments
  • Support Kibana observability layers: Create dashboards, visualizations, and custom alerting frameworks (e.g., Watcher, ElastAlert)
Requirements:
  • 7+ years of experience in Site Reliability Engineering, DevOps, or Cloud Engineering
  • 4+ years of dedicated, hands-on experience with ELK (Elasticsearch, Logstash, Kibana)
  • Strong experience managing large-scale ELK clusters in production with heavy ingestion (multi-TB/day)
  • Deep knowledge of index tuning, shard allocation, ILM policies, and scaling ELK components
  • Expertise in GitHub Actions, Terraform, Ansible, and Infrastructure as Code (IaC)
  • Proficiency in Python, Go, or Bash for automation and scripting
  • Deep understanding of Kubernetes, Docker, and cloud-native architectures
  • Experience with observability tools such as Prometheus, Grafana, Azure Monitor
  • Ability to work in a fast-paced, collaborative environment and solve complex operational issues

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is preferred.



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