Senior Information Security Infrastructure Engineer - Security Architecture - Infosec

Elastic
Alicante (Alacant), Spain
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Elastic Compute Cloud Automation of Tests Software as a Service Cloud Computing Cyber Security Elasticsearch Software Engineering Scripting Cloud Platform System Kubernetes Helm Charts Rate Limiting
+4 more
Kubernetes Restful APIs Terraform Pagination

Job description

OverviewAsSenior Information Security Infrastructure Engineer, you protect Elastic’s data and systems by building and maintaining the security telemetry pipeline into Elasticsearch.You will keep Elastic Cloud on Kubernetes clusters healthy and upgrade them, while managing capacity and ILM.You’ll automate cloud infrastructure with Terraform and deploy ingest jobs via Kubernetes and Helm.You’ll apply AI-driven automation to reduce toil and ensure data quality, reliability, and cost awareness.This is a hands-on role shaping security telemetry pipelines and secure cloud operations at scale.Compensaciones / Beneficioscompetitive payhealth coverage for you and familyflexible locations and schedulesgenerous vacation daysdonation matching up to $**volunteer days (up to 40 hours/year)ResponsabilidadesIngest and maintain security telemetry data into Elasticsearch from cloud audits, identity/SaaS activity, and endpoint dataKeep Elastic Cloud on Kubernetes clusters healthy, including version upgrades, capacity and shard management, ILM, and cross-cluster searchManage cloud infrastructure and Elasticsearch resources using Terraform; deploy pipelines, index templates, and alertsUse Kubernetes and Helm to deploy scheduled ingest jobs and related infrastructureApply AI automation, self-healing jobs, health checks, and agent-assisted workflows to improve operationsMonitor data quality and reliability; oversee data backfills, schema consistency, and cost managementRequisitos principalesOperate Elastic/Elasticsearch in production: ingest pipelines, mappings, queries, cluster health and upgradesExperience with ECK or Elasticsearch on Kubernetes (preferred)Proven track record using AI to accelerate development and operations while owning outcomesKubernetes-deploying workloads, troubleshooting pods/jobs, Helm charts, operatorsTerraform-managing cloud and Elasticsearch resources as codeAPI integration-consuming REST APIs for ingestion: auth, pagination, rate limiting, error handlingPython scripting for ingestion/automation scripts (not full software engineering depth)Eligibility to work in DoD Impact Level 4+ cloud environmentscollaboration with cross-functional teamsattention to detailproblem-solving mindsetElastic/Elasticsearch production experienceIngest pipelines, index templates, mappings, queriesECK or Kubernetes-based Elasticsearch

Requirements

Proven track record using AI to accelerate development and operations while owning outcomes Kubernetes-deploying workloads, troubleshooting pods/jobs, Helm charts, operators Terraform-managing cloud and Elasticsearch resources as code API integration-consuming REST APIs for ingestion: auth, pagination, rate limiting, error handling Python scripting for ingestion/automation scripts (not full software engineering depth) Eligibility to work in DoD Impact Level 4+ cloud environments collaboration with cross-functional teams attention to detail problem-solving mindset Elastic/Elasticsearch production experience Ingest pipelines, index templates, mappings, queries ECK or Kubernetes-based Elasticsearch

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