Senior Information Security Infrastructure Engineer - Security Architecture - InfoSec
Join Elastic as a Senior Information Security Infrastructure Engineer to enhance data protection and security systems.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Build and maintain ingestion of security-relevant data into Elasticsearch
- Monitor and upgrade Elastic Cloud on Kubernetes clusters
- Manage cloud infrastructure and Elasticsearch resources with Terraform
- Ensure security data flows correctly and monitor backfills
- Utilize AI for automation and tooling
Must have
- Ability to operate Elastic and Elasticsearch in production
- Experience with ECK or Elasticsearch on Kubernetes
- Proven track record of using AI to accelerate development
- Kubernetes experience
- Terraform experience
- API integration experience
Nice to have
- Experience with cloud providers
- Hands-on experience with GCP
- Knowledge of GitHub and CI workflows
- Knowledge of SOC operations and incident response workflows
- Ability to develop dashboard/visualization tools
Practical constraints
- Eligibility to work in DoD Impact Level 4 or above cloud service environments
AI in the day-to-day
Use AI automation and tooling to reduce toil, including self-healing jobs and health checks.
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Information Security Infrastructure Engineer at Elastic, the individual is responsible for managing the ingestion of security telemetry into Elasticsearch, ensuring data flows correctly and maintaining the health of Elastic clusters. Key skills include expertise in Kubernetes, Terraform, and API integration, along with a solid understanding of security data management. This position is suited for experienced professionals with a background in information security and cloud infrastructure. The team focuses on enhancing the organization's security posture through meaningful projects and collaboration.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 12, 2026. Last confirmed on Elastic's careers page November 2, 2026.
- This exact title is also open at 5 other locations at Elastic: United Kingdom, Ireland, Greece, Poland, Portugal.
- Starts above 2% of 265 comparable senior security roles we track (median $165,000 across 85 companies).
Quick facts
- What's the salary range?
- Elastic lists €67,000–€106,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Elasticsearch, Kubernetes, Python, Terraform.
- What seniority level is this role?
- Elastic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Information Security Infrastructure Engineer - Security Architecture - InfoSec role at Elastic.
From the original posting
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.
What is The Role :
What You Will Be Doing :
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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.
What You Bring :
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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.
Bonus Points :
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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.
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