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 the end-to-end pipeline for security telemetry to ensure data flows consistently into Elasticsearch clusters. You will be responsible for building and maintaining ingestion pipelines for cloud provider audit logs, identity activity, and endpoint data while ensuring cluster health through monitoring, upgrades, and index lifecycle management. The role involves managing infrastructure as code using Terraform, deploying workloads via Kubernetes and Helm, and utilizing Python for automation scripts. You will also leverage AI tools to reduce operational toil and ensure data quality across various schemas. Key technical requirements include experience with Elasticsearch on Kubernetes, REST API integration, and proficiency in Python. This role focuses on the critical task of securing organizational data by maintaining reliable security telemetry for detection and incident response.

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 Elasticsearch clusters running on Kubernetes.
  • Use Terraform to manage cloud infrastructure, ingest pipelines, index templates, and alerts as code.
  • Implement AI automation and tooling 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 data ingestion and internal operations.
  • Integrate with third-party and cloud provider APIs while handling authentication, pagination, and rate limits.

What we're looking for

  • Ability to operate Elastic and Elasticsearch in production including managing pipelines, 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.
  • Proficiency in Terraform for managing cloud infrastructure and Elasticsearch resources as code.
  • Ability to consume REST APIs for data ingestion including handling authentication, pagination, and rate limiting.
  • Ability to read, write, and modify Python scripts for ingestion and automation.
  • Eligibility to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments.

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