Senior Information Security Infrastructure Engineer, Security Architecture

Elastic

Confirmed live yesterday High trust

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Work type
On-site
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Posted
3 days ago
Freshness
Confirmed live yesterday

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Similar $184k
$126k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $151,475–$216,065.

Based on 240 similar postings.

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About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 257 open roles on FindRole.

Listed pay typically runs $133,100–$203,500 across 90 roles with salary data.

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At a glance

TL;DR · Senior Information Security Infrastructure Engineer, Security Architecture

Senior Information Security Infrastructure Engineer - Security Architecture - InfoSec joins the InfoSec - Security Architecture team to protect organizational data and systems by managing security telemetry pipelines. The role involves ingesting security-relevant data, such as cloud provider audit logs and identity activity, into Elasticsearch while maintaining the health of underlying clusters on Kubernetes. Key responsibilities include managing infrastructure via Terraform, overseeing index lifecycle management, and utilizing AI automation to reduce operational toil. The candidate will ensure data quality, monitor backfills, and manage costs across various pipelines. Required technical skills include experience with Elastic Cloud on Kubernetes (ECK), Python scripting for automation, and consuming REST APIs for data ingestion. The role addresses the critical challenge of ensuring consistent security telemetry flows correctly into systems used by detection, incident response, and consulting teams to bolster overall security posture.

What you'll do

  • Build and maintain ingestion pipelines for security data from cloud providers and third-party APIs into Elasticsearch.
  • Manage the health, upgrades, capacity, and shard management of Elastic Cloud on Kubernetes clusters.
  • Use Terraform to manage cloud infrastructure, pipeline configurations, index templates, and alerts as code.
  • Implement AI automation and tooling to reduce operational toil and create self-healing jobs.
  • Monitor data quality and reliability to ensure security telemetry flows correctly and remains cost-effective.
  • Develop Python scripts to automate ingestion processes and internal operations.
  • Manage Kubernetes workloads including scheduled ingest jobs, Helm charts, and pod troubleshooting.

What we're looking for

  • Ability to operate Elastic and Elasticsearch in production, including managing ingest pipelines, index templates, mappings, and queries.
  • Experience with ECK or Elasticsearch on Kubernetes (preferred).
  • Proven track record of using AI to accelerate development, debug systems, and automate operations.
  • Proficiency in Kubernetes for deploying workloads, managing Helm charts, and troubleshooting pods/jobs.
  • Proficiency in Terraform for managing cloud infrastructure and Elasticsearch resources as code.
  • Ability to consume REST APIs for data ingestion including authentication, pagination, and rate limiting.
  • Ability to read, write, and modify Python scripts for automation and ingestion.
  • Eligibility to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments.

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