We use technical cookies and Zorky's de-identified visit log. Yandex Metrica (data is stored on servers in Russia) runs only with your consent. We never sell data. More about cookies and statistics.
Zorky is in test mode — everything is free. Jobs and company pages are open to everyone; links to postings and your personal feed open after you sign up. Sign up →
← All jobs

Senior Elastic Engineer

SeniorremoteRemote: Sri Lanka; UTC+5:30, LKtoday
Market insights
📊 Backend: salaries and demand on the market
Stack
awsci/cdcloudecselasticsearchfine-tuningjavalinuxpythonrubys3
Details
Experience
5+ years
Practices
CI/CD
Show company and link
Free, after you sign in.
Apply
Upload your CV — employers and recruiters from different countries looking for your profile can contact you directly.
Send your CV →
Description
Role Overview

The Senior Elastic Engineer leads the design, optimization, and strategic evolution of Elastic environments that support advanced security and observability use cases. This role combines deep hands-on engineering with architectural leadership, with responsibility for scalability, resilience, platform standards, and complex solution design across enterprise environments.

Key Responsibilities
  • 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 normalization standards aligned to ECS
  • Build and optimize advanced Logstash and ingest pipelines for high-volume and diverse data sources
  • Lead large-scale Elastic Agent and Fleet deployments with strong operational standards for endpoint and observability use cases
  • Drive integration of diverse security and observability telemetry sources with 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
Company — after you sign in. Sign in
Source: HimalayasView on Himalayas →
Employer contacts (email/phone/telegram) are hidden from the public preview. Send your CV so employers can reach you directly.
Report this job
Urgent question? Message @termdocs