
Large Scale Observability Expert
2 days ago
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)
- 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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