Senior Information Security Infrastructure Engineer - Security Architecture - InfoSec

Elastic; España; On-site; PHP 7,524,000 - 11,285,000; Full time

Job summary

The Search AI Company is seeking a Senior Information Security Infrastructure Engineer within the InfoSec - Security Architecture team. You will own end-to-end ingestion pipelines for security telemetry and ensure the health of the underlying clusters.

You will work with Elasticsearch on Kubernetes, Terraform, and AI-enabled tooling to optimize security data flows, detections, and investigations across cloud-based infrastructure.

Qualifications

• Experience operating Elasticsearch in production.
• Proven track record using AI to accelerate development and operations.
• Kubernetes deployment, troubleshooting and management.
• Terraform for cloud and Elasticsearch resources.

Responsibilities

• Ingest security telemetry into Elasticsearch and maintain pipelines.
• Keep Cloud on Kubernetes clusters healthy; monitor upgrades, capacity, and ILM.
• Use Terraform to manage pipelines, index templates, and alerts; deploy with Helm.
• Enable cross-cluster search and maintain data integrity and costs.

Skills

Production Elasticsearch

Kubernetes ops

Terraform usage

AI tooling

Tools

Elasticsearch on Kubernetes

ECK

Helm

Job description

the company, 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 the company 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 — the company’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 the company 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 the company integrations and one-off custom integrations.
• Keep the the company 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.

What You Bring :

• Ability to operate the company 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.<