Senior Elastic Engineer

CyberMaxx

Senior Elastic Engineer managing the full Elastic Stack for CyberMaxx's security operations. Architecting solutions and mentoring engineering teams for optimal performance and security.

Posted 7/21/2026full-timeRemote • Maryland • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Elastic Stack architecture, including Elasticsearch, Logstash, and Kibana, with a focus on high-volume security telemetry ingestion and performance tuning. Proven ability to design data models and manage index lifecycles while mentoring teams and establishing best practices.

Highest-signal resume keywords

Elasticsearch ArchitectureData Ingestion PipelinesCluster Performance TuningElastic Stack SecurityMentoring and Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ElasticsearchLogstashBeatsIndex Lifecycle ManagementShardingQuery DSLES|QLPythonGoAutomation

Soft Skills

MentoringDocumentationCross-Functional Collaboration

Tools & Technologies

Elastic StackAWSAzureDockerKubernetes

Certifications & Qualifications

Elastic Certified Engineer

Industry Keywords

Security TelemetrySIEMEDRCloud LogsSecurity Operations

Tech Stack

Tools & technologies

AWSAzureCloudDockerElasticSearchGoKubernetesLogstashPython

About the role

Key responsibilities & impact

Architect and own the Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana) supporting high-volume security telemetry ingestion, detection, and search.
Direct implementation experience with ECK is required.
Design data models, index lifecycle management (ILM) strategies, sharding, and hot-warm-cold tiering for petabyte-scale, multi-tenant security data.
Build and harden ingestion pipelines from EDR, network, cloud, and log sources into the Elastic Stack, in partnership with detection engineering.
Tune cluster performance — query latency, indexing throughput, resource allocation — and drive capacity planning for growth.
Own Elastic Stack security, upgrades, and reliability, including runbooks, monitoring, and incident response for the platform itself.
Evaluate and roll out new Elastic capabilities (e.g., Elastic Security, ES|QL, machine learning jobs) that improve detection speed and analyst experience.
Set technical direction for and mentor a small team of Elastic engineers, establishing standards, review practices, and on-call structure for the platform.
Document architecture decisions, standards, and best practices, and represent the Elastic platform in cross-functional planning and vendor (Elastic) conversations.

Requirements

What you’ll need

7+ years in search/data engineering or infrastructure roles, with 6+ years of hands-on Elasticsearch/Elastic Stack architecture experience.
Deep expertise in Elasticsearch internals: sharding, replication, ILM, mapping/index design, query DSL and/or ES|QL, and cluster performance tuning at scale.
Experience building ingestion pipelines with Logstash, Beats, or Elastic Agent, ideally with security/log data (SIEM, EDR, cloud logs).
Comfort operating Elastic in private and public cloud environments (AWS/Azure) and with containerization (Docker/Kubernetes) and infrastructure-as-code.
Working knowledge of security operations concepts (detections, alerting, SIEM workflows) is a strong plus
Scripting/programming ability (Python, Go, or similar) for automation and tooling.
Elastic Certified Engineer certification is a plus, not required.

Benefits

Comp & perks

Flexible Paid Time Off
401k with a company match
Medical, Dental and Vision Coverage
Voluntary Short Term and Long-Term Disability
Employee Assistance Program with Mental Health Supplement
Voluntary Basic, Accidental, and other ancillary life insurance
Health Savings Account Contribution (with selection of a HDHP)
10 annual, paid holidays