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Elasticsearch Engineer

Remote / Online - Candidates ideally in
Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Trapp Technology, Inc.
Full Time, Remote/Work from Home position
Listed on 2026-01-12
Job specializations:
  • Engineering
    Systems Engineer, Data Engineer
  • IT/Tech
    Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Details

Level: Experienced

Job Location: Remote or - Phoenix, AZ 85004

Position Type: Full Time

Salary Range: $ - $ Salary/year

Travel Percentage: None

Job Shift: Standard (8AM to 5PM)

Summary

The Elasticsearch Engineer will continuously improve and scale the Elasticsearch infrastructure that powers our high-profile, high-visibility cybersecurity and risk-management platform. You will own the Elasticsearch clusters (provisioning, upgrades, backup/restore, and troubleshooting) managed with Ansible, and you will design, evolve, and operate data‑ingest pipelines plus Elastic Fleet policies and integrations using Ansible.

This is a full-time, remote position. Rotation on‑call hours required.

What You’ll Do
  • Meet professional obligations with efficient work habits—hit deadlines, honor schedules, and coordinate resources/meetings effectively.
  • Build strong cross‑functional relationships with Sec Ops, SRE/Platform, Dev, and Compliance.
  • Maintain a professional image and adhere to all company policies/procedures.
  • Produce clear runbooks, diagrams, and training for junior staff; lead knowledge‑shares.
  • Participate in and contribute to collaborative engineering/design reviews.
  • Plan and execute zero/minimal downtime Elasticsearch cluster upgrades with rollback and validation steps.
  • Implement and test cluster backups/restores
    ; regularly perform DR exercises.
  • Diagnose and resolve cluster issues (performance, shards, mappings, ILM, security).
  • Create and maintain Elasticsearch ingest pipelines parsing (Grok, processors, ECS alignment, Painless).
  • Create and maintain index/component templates, ILM and SLM policies.
  • Create and maintain Elastic Agent integrations via Ansible
    , adapting data to Elastic Common Schema.
  • Build cluster, agent, and data ingest monitoring & alerting (throughput, latency, drop/error rates) with dashboards Kibana and Elast Alert; respond to incidents.
  • Capacity planning and performance tuning.
  • Own OS configuration management for Elastic nodes using Ansible (idempotent playbooks, CI validation).
  • Partner with Security to improve data quality, normalization, and retention policies.
  • “Other duties as assigned” in support of platform reliability and data integrity.
Qualifications

Minimum Qualifications
  • High School Diploma or GED equivalent,
    required
    .
  • Elastic Certified Engineer (ECE) or equivalent knowledge,
    required
    .
  • 2+ years hands‑on Elasticsearch engineering in production,
    required
    .
  • Ansible experience for automated configuration management,
    required
    .
  • Extensive experience with Grok patterns and ingest pipeline parsing.
  • Experience with Git Hub (PR workflow, code reviews, Actions/CI).
  • Some programming experience to be able to comprehend and troubleshoot existing Power Shell and Python scripts.
Nice to Have
  • ETL/data‑engineering experience outside Elastic (e.g., Kafka, Fluent Bit, Airflow).
  • Programming in Bash
    , Python, Power Shell, Ruby or Go for tooling, automation, and QA.
  • Security certifications (e.g.,
    CISSP, CISM, CISA, Security+, CEH
    ).
  • Exposure to Elastic security features, RBAC, TLS, PII handling.
  • Experience with Elastic’s tooling such as Rally.
  • Familiarity with ECS, ILM, SLM, Hot‑Warm‑Cold architectures, index and component templates, data stream and concrete index strategies.
  • Experience with Linux hardening, systemd, and performance tuning for Elastic nodes.
  • Observability practices (SLOs, error budgets), and metrics/logs/traces integration.
Tools & Technologies You’ll Use

Elasticsearch, Kibana, Fleet, Elastic Agent, Grok. Painless, Ansible, Git, Linux, SSH, TLS/PKI;
Python, Power Shell, Vault, Consul.

Success Metrics (First 6–12 Months)
  • Ability to create and manage custom pipelines with strict adherence to the Elastic Common Schema.
  • Zero‑defect execution of at least one cluster upgrade with validated rollback plan.
  • Backups & restores documented and tested; RPO/RTO objectives met.
  • Pipeline error rate and data latency within defined SLOs; data quality KPIs improved.
  • Ansible playbooks and runbooks documented
    , peer‑reviewed, and CI‑validated.
  • Measurable reduction in MTTR for Elastic‑related incidents.
Work Environment & Benefits

Trapp Technology and Armor Point take pride in a workplace defined by positivity, respect, and collaboration – where…

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