Senior Information Security Infrastructure Engineer, Security Architecture

Elastic

Confirmed live yesterday High trust

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

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How this pay compares to similar roles

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

As a Senior Information Security Infrastructure Engineer on the InfoSec - Security Architecture team, you will manage and maintain the infrastructure supporting security telemetry. You will own the end-to-end pipeline for ingesting security data from cloud providers, identity systems, and endpoints into Elasticsearch clusters. Your daily responsibilities include managing cluster health, performing upgrades, handling index lifecycle management, and ensuring data quality and consistency. To achieve these goals, you will utilize Terraform to manage infrastructure as code, Kubernetes and Helm for deploying scheduled jobs, and Python for scripting automation. You must be proficient in consuming REST APIs and using AI tools to reduce operational toil. The role focuses on the technical challenge of providing reliable security telemetry for detection, incident response, and consulting teams within a complex cloud environment.

What you'll do

  • Build and maintain ingestion pipelines for security data from cloud providers, identity systems, and endpoints into Elasticsearch.
  • Manage the health, upgrades, capacity, and shard management of Elastic Cloud on Kubernetes clusters.
  • Use Terraform to manage cloud infrastructure, index templates, and automated alert configurations.
  • Implement AI automation and tools to reduce operational toil and automate system health checks.
  • Ensure data quality by monitoring backfills, maintaining consistent schemas, and managing costs.
  • Develop Python scripts to automate ingestion processes and internal operations.
  • Integrate with third-party APIs while handling authentication, pagination, and rate limits for telemetry collection.

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, rate limiting, and error handling.
  • 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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