Senior Information Security Infrastructure Engineer (Security Architecture - Information Security)

Elastic

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Health coverage
Flexible location & schedule
Generous vacation days
Parental leave
Volunteer time
Charitable matching

Job summary

Elastic is seeking a Senior Information Security Infrastructure Engineer to protect data and systems by managing security telemetry ingestion into Elasticsearch and ensuring the health of Elastic clusters.

You will own end-to-end pipelines from data landing to indices, work with cloud APIs, and enable ILM, CCS, and cross-cluster search. Collaboration with IR and consulting teams is expected, leveraging Terraform and Kubernetes for deployment.

Qualifications

  • Experience with Elastic/Elasticsearch in production environments.
  • Proficiency with cloud platforms, preferably GCP, and logging data.
  • Knowledge of SOC operations, IR workflows, and security telemetry.
  • Experience building ingestion pipelines and ILM with Elastic.
  • API integration and REST data ingestion experience.

Responsibilities

  • Ingest security telemetry into Elasticsearch and keep Elastic clusters healthy.
  • Maintain Elastic Cloud on Kubernetes clusters (upgrades, capacity, ILM, CCS).
  • Build and manage ingestion pipelines from new data sources to indices and queries.
  • Use Terraform to manage cloud infra and Elasticsearch resources; deploy with Kubernetes/Helm.

Skills

Elasticsearch
Kubernetes
Terraform
Python scripting
CI/CD
Cloud security

Tools

Terraform
Kubernetes
Helm
GitHub Actions

Job description

  • 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 Elastic 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
  • 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 Elastic integrations and one-off custom integrations
  • Keep the Elastic 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
Benefits
  • Toast to your health: Fully paid health coverage for you and your family, in many locations.
  • Craft your calendar: Flexible location and schedule for most roles.
  • Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
  • Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
  • Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
  • Amplify your impact: Double your charitable giving - we match donations up to $1500 USD (or local currency equivalent).

Proven track record of using AI to accelerate development, debug complex systems, and accelerate operations, while still owning the final outcomesEligibility to work in Department of Defense (DoD) Impact Level 4 or above cloud service environmentsPython scripting - able to read, write, and modify ingestion/automation scripts. Scripting-level, not full software-engineering depthAbility to operate Elastic 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 preferredAPI integration - consuming REST APIs for data ingestion: authentication, pagination, rate limiting concurrency, and error handlingTerraform - managing cloud and Elasticsearch resources as codeKubernetes - deploying and operating workloads (scheduled jobs, Helm charts, operators); troubleshooting pods/jobs in a clusterExperience with cloud providersHands-on experience with cloud providers, preferably GCP, and working with audit and logging dataAbility to develop and use dashboard/visualization toolsKnowledge of GitHub, PR-based workflows, GitHub Actions and Continuous Integration (CI)Knowledge of SOC operations and incident response (IR) workflows, including the use of security telemetry during investigations

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