Ireland · On-site · Full-time · 39h/week
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Elastic, 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 Elastic 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 — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
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.
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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.
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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).
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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.
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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.
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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.
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Ability 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 preferred.
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Proven track record of using AI to accelerate development, debug complex systems, and accelerate operations, while still owning the final outcomes.
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Kubernetes - deploying and operating workloads (scheduled jobs, Helm charts, operators); troubleshooting pods/jobs in a cluster.
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Terraform - managing cloud and Elasticsearch resources as code.
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API integration - consuming REST APIs for data ingestion: authentication, pagination, rate limiting concurrency, and error handling.
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Python scripting - able to read, write, and modify ingestion/automation scripts. Scripting-level, not full software-engineering depth.
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Eligibility to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments.
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Experience with cloud providers.
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Hands-on experience with cloud providers, preferably GCP, and working with audit and logging data.
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Knowledge of GitHub, PR-based workflows, GitHub Actions and Continuous Integration (CI).
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Knowledge of SOC operations and incident response (IR) workflows, including the use of security telemetry during investigations.
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Ability to develop and use dashboard/visualization tools.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
€87.300—€138.000 EUR
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
Elastic
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