Senior Information Security Infrastructure Engineer - Security Architecture - InfoSec

About this role

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role : Join the InfoSec - Security Architecture team as a Senior Information Security Infrastructure Engineer , where you'll have the chance to play a key role in protecting our organization's data and systems. This position offers the opportunity to work on meaningful projects that directly impact our security posture and collaborate with a skilled team passionate about information security. In more details: We ingest the security telemetry that the whole security org runs on.

In this role you'll get that telemetry into Elasticsearch consistently and keep the underlying Elastic clusters healthy. You own the pipeline end to end: from a new security data source landing, through ingest pipelines, into the indices detection, IR, and consulting teams query, plus the clusters that store it all. What You Will Be Doing : Security telemetry ingestion - build and maintain ingestion of security-relevant data into Elasticsearch (cloud provider audit logs, identity/SaaS activity, endpoint and asset data).

This means integrating with third-party and cloud provider APIs to pull telemetry: auth, pagination, rate limits, and handling schema changes. Both Elastic integrations and one-off custom integrations. Keep the Elastic Cloud on Kubernetes clusters healthy. Monitor and upgrade them regularly. This involves updating versions and builds. Manage capacity and shards. Handle index lifecycle management (ILM). Enable cross-cluster search (CCS).