Engineer

• Lead the architecture, design, and continuous improvement of enterprise Elastic environments
• Define and enforce best practices for scalability, resilience, lifecycle management, and operational excellence
• Support and optimize platform strategy for high availability, retention, performance, and cost efficiency
• Lead root cause analysis and resolution of complex platform, pipeline, and data issues
• Design and govern ingestion pipelines, data models, and ECS-aligned normalization standards
• Build and optimize advanced Logstash and ingest pipelines for high-volume and diverse data sources
• Lead large-scale Elastic Agent and Fleet deployments for endpoint and observability use cases
• Integrate diverse security and observability telemetry sources while maintaining high data quality
• Design and optimize AWS-backed Elastic infrastructure, including S3, compute, networking, IAM, and related cloud services
• Design production-grade CI/CD pipelines
• Leverage AWS services for snapshot strategy, retention, archival, and broader platform operations
• Monitor and optimize costs across compute, storage, ingestion, and retention
• Automate infrastructure provisioning and configuration using infrastructure-as-code
• Design advanced Kibana dashboards, detection workflows, observability views, and executive reporting
• Partner with detection engineering, infrastructure, and leadership teams to define requirements and roadmap priorities
• Identify opportunities to improve detection coverage, platform reliability, and observability maturity
• Mentor engineers, review technical designs, and contribute to platform roadmap planning

Engineer jobs in Sri Lanka

Senior Elastic Engineer