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Highly Skilled Observability Engineer
2 weeks ago
Are you an expert in designing and managing large-scale observability infrastructure using the ELK stack? Do you have experience in enhancing reliability across distributed systems and driving automation within cloud environments?
\We are seeking a Senior Site Reliability Engineer with deep ELK expertise to fill this critical role. As a key member of our team, you will be responsible for designing and implementing efficient log pipelines, scaling Logstash and Beats pipelines across distributed environments, and supporting Kibana observability layers.
\Key Responsibilities:\- \
- Design and manage large-scale observability infrastructure using the ELK stack (Elasticsearch, Logstash, Kibana).\
- Enhance reliability across distributed systems and drive automation within cloud environments.\
- Manage and scale 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).\
- Maintain and improve existing ELK infrastructure, identify areas for optimization and implement changes as needed.\
- Collaborate with development teams to ensure seamless integration of ELK solutions into production environments.\
- Develop and maintain documentation for ELK infrastructure, including configuration files, deployment scripts, and troubleshooting guides.\
- Participate in on-call rotations and provide support for ELK-related issues outside of regular business hours.\
- Stay up-to-date with the latest ELK developments, best practices, and industry trends, applying this knowledge to continuously improve our ELK infrastructure.\
- Ensure compliance with security and data privacy regulations, maintaining the confidentiality, integrity, and availability of sensitive data.\
