Senior Elastic Engineer

CyberMaxx•Linthicum, MD

About The Position

At CyberMaxx, we believe it is our duty to defend against those committed to wide-scale societal disruption through cyberattacks. We help our customers reduce risk by tightly integrating MDR with offensive security, threat hunting, security research, and digital forensics and incident response (DFIR) to continually adapt to new and evolving threats. Our modern MDR (Managed Detection & Response) approach is tailored to the unique characteristics and risk factors of each customer, enabling us to take full ownership of the response process and, optionally, manage key security controls. By thinking like an adversary and defending like a guardian, we help our customers stay a step ahead of threat actors. At CyberMaxx, we value humility, transparency, intellectual curiosity, and a customer first approach. The Senior Elastic Engineer is responsible for the administration, optimization, and governance of the full Elastic Stack and ensures its reliability and scalability. This role ensures platform reliability, security, scalability, and alignment with organizational workflows while driving user adoption and continuous improvement.

Requirements

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.
Scripting/programming ability (Python, Go, or similar) for automation and tooling.

Nice To Haves

Working knowledge of security operations concepts (detections, alerting, SIEM workflows) is a strong plus
Elastic Certified Engineer certification is a plus, not required.

Responsibilities

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.