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Senior Information Security Infrastructure Engineer - Security Architecture - InfoSec

Elastic· InfoSec
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Hybrid (Ireland)€87.3k - €138kfull-timePosted 1mo ago

About the role

Senior Information Security Infrastructure Engineer focused on ingestion and management of security telemetry into Elasticsearch, maintaining Elastic Cloud on Kubernetes clusters, and building end-to-end pipelines for security data ingestion, storage, and querying.

Responsibilities

  • Security telemetry ingestion - build and maintain ingestion of security-relevant data into Elasticsearch (cloud provider audit logs, identity/SaaS activity, endpoint and asset data). Integrate 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).
  • Use Terraform to manage cloud infrastructure and Elasticsearch resources. This includes managing pipelines, index templates, and alerts. Utilize Kubernetes and Helm to deploy scheduled ingest jobs.
  • Use AI automation and tooling to reduce toil. This includes self-healing jobs and health checks. It also involves alerting, internal CLIs, and AI or agent-assisted workflows for investigation and operations.
  • Data quality & reliability - Own the "is the security data actually flowing correctly?" question. Monitor backfills. Ensure that schemas and fields are consistent. Keep an eye on costs.

Qualifications

  • Ability to operate Elastic and Elasticsearch in production. This includes managing ingest pipelines, index templates, mappings, and queries, while ensuring that clusters are healthy and upgraded. Experience with ECK or Elasticsearch on Kubernetes is strongly preferred.
  • Proven track record of using AI to accelerate development, debug complex systems, and accelerate operations, while still owning the final outcomes.
  • Kubernetes - deploying and operating workloads (scheduled jobs, Helm charts, operators); troubleshooting pods/jobs in a cluster.
  • Terraform - managing cloud and Elasticsearch resources as code.
  • API integration - consuming REST APIs for data ingestion: authentication, pagination, rate limiting concurrency, and error handling.
  • Python scripting - able to read, write, and modify ingestion/automation scripts. Scripting-level, not full software-engineering depth.

Skills

Required:Elastic/Elasticsearch production operationsAI-assisted automationKubernetesTerraformAPI integrationPython scripting
Nice to have:ECK / Kubernetes

Benefits

  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Company donations matching up to $2000 or local currency equivalent
  • Up to 40 hours each year toward volunteer projects
  • Minimum of 16 weeks parental leave
Last updated Oct 15, 2026. Interested? Apply on the company site.
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