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Elasticsearch Observability Engineer Jobs (NOW HIRING)

Cynet Systems

Observability Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Observability Engineer The Observability Engineer is responsible for managing and supporting ... Strong knowledge of Elasticsearch architecture, configuration, and performance tuning. * Experience ...

Diverse Lynx

Observability Engineer

Phoenix, AZ · On-site

Administer and optimize large-scale Elasticsearch clusters (configuration, scaling, performance ... Collaborate with platform engineering and SRE teams to improve observability maturity. Assist in ...

ClifyX

Reporting & Observability Engineer

Chandler, AZ · On-site

Reporting & Observability Engineer Seeking an experienced Reporting & Observability Engineer with ... Experience integrating Grafana with data sources such as Prometheus, Elasticsearch, Splunk, SQL ...

HedgeServ

Senior ITSMA Observability Engineer

Dallas, TX · On-site

$103K - $142K/yr

The Senior ITSMA Observability Engineer is responsible for the design and development of the ... Proficiency with Elasticsearch, Logstash, Kibana, Beats, APM with X-Pack, Prometheus, Grafana, AWS ...

HedgeServ

Senior ITSMA Observability Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

The Senior ITSMA Observability Engineer is responsible for the design and development of the ... Proficiency with Elasticsearch, Logstash, Kibana, Beats, APM with X-Pack, Prometheus, Grafana, AWS ...

HedgeServ

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

The Senior ITSMA Observability Engineer is responsible for the design and development of the ... Proficiency with Elasticsearch, Logstash, Kibana, Beats, APM with X-Pack, Prometheus, Grafana, AWS ...

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Elasticsearch Observability Engineer information

How does an Elasticsearch Observability Engineer typically collaborate with development and operations teams?

As an Elasticsearch Observability Engineer, you frequently partner with both development and operations teams to design and implement monitoring solutions using the Elastic Stack. You'll help developers instrument applications for better traceability and support operations in troubleshooting and optimizing system performance. Regular communication is key, as you'll often lead workshops, create dashboards, and respond to incidents collaboratively. This cross-functional teamwork ensures observability solutions align with organizational goals and provide actionable insights.

What does an Elasticsearch Observability Engineer do?

An Elasticsearch Observability Engineer is responsible for designing, implementing, and maintaining observability solutions using the Elasticsearch stack (Elasticsearch, Logstash, Kibana, and Beats). Their primary role is to ensure that systems are monitored effectively, logs and metrics are collected and analyzed, and issues are detected and diagnosed quickly. They collaborate with development and operations teams to build dashboards, set up alerts, and optimize performance for monitoring infrastructure and applications. These engineers play a key role in improving system reliability and supporting incident response.

What are the key skills and qualifications needed to thrive as an Elasticsearch Observability Engineer, and why are they important?

To thrive as an Elasticsearch Observability Engineer, you need expertise in Elasticsearch, log management, and data analysis, often supported by a degree in computer science or a related field. Familiarity with observability tools such as Kibana, Logstash, Beats, and experience with cloud platforms and scripting languages like Python or Bash are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in this role. These competencies are vital for ensuring system reliability, quickly detecting issues, and delivering actionable insights for continuous improvement.

What is the difference between Elasticsearch Observability Engineer vs Elasticsearch Developer?

AspectElasticsearch Observability EngineerElasticsearch Developer
Primary FocusMonitoring, logging, and observability of Elasticsearch clusters and related systemsDeveloping, customizing, and optimizing Elasticsearch applications and integrations
Skills & CertificationsKnowledge of Elasticsearch, Prometheus, Grafana, scripting, and monitoring toolsProficiency in Elasticsearch APIs, Java, REST, and development frameworks
Work EnvironmentOperations teams, DevOps, SREs, cloud environmentsDevelopment teams, software engineers, backend developers

While both roles require expertise in Elasticsearch, the Elasticsearch Observability Engineer focuses on system monitoring and ensuring Elasticsearch health, whereas the Elasticsearch Developer concentrates on building and customizing Elasticsearch-based applications. Their skills and daily tasks differ, but both are essential in Elasticsearch-centric environments.

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Elasticsearch Observability Engineer jobs near you
Infographic showing various Elasticsearch Observability Engineer job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 10% Part Time, and 24% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.
Senior Elastic Engineer with Security Clearance

Senior Elastic Engineer with Security Clearance

Zachary Piper Solutions, LLC

Colorado Springs, CO

$140K - $200K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Zachary Piper Solutions is seeking an Elasticsearch & Observability Engineer to support a high‑visibility federal cybersecurity program within a leading Managed Security Service Provider (MSSP) in an on‑site environment in Colorado Springs, CO. This role focuses on designing, implementing, and managing Elasticsearch environments while building robust observability and monitoring capabilities across mission‑critical systems. The ideal candidate brings deep expertise in search technologies, logging pipelines, metrics, tracing, and real‑time monitoring within secure, high‑performance environments. The position is contingent upon additional funding. Responsibilities of the Elasticsearch & Observability Engineer include:
Design, deploy, and manage Elasticsearch clusters across distributed environments
Optimize search performance, indexing strategies, mappings, and query execution
Ensure data integrity, availability, and security within Elastic deployments
Monitor cluster health and performance, proactively identifying and resolving issues
Develop and maintain observability frameworks using Kibana, Grafana, or similar tools
Implement logging, metrics, and tracing systems for real‑time application monitoring
Analyze and visualize complex datasets to identify trends, anomalies, and performance gaps
Collaborate with cross‑functional teams to define search and observability requirements
Provide technical guidance, documentation, and mentorship to team members
Stay current with emerging technologies in search, observability, and monitoring
Document architectures, procedures, and operational processes
Prepare reports on system performance, incidents, and resolutions Qualifications for the Elasticsearch & Observability Engineer include:
Active TS/SCI clearance
Possession of a U.S. Passport
Outstanding written and verbal communication skills
Ability to support short, planned domestic or international travel
At least 3 years of experience demonstrating proficiency in:
Elasticsearch engineering and observability tooling
SIEM concepts and platforms (Elastic, Splunk, QRadar, LogRhythm)
Designing, implementing, and optimizing complex SIEM or logging solutions
Linux/Unix systems, networking fundamentals, and cloud services
Scripting languages such as Python, PowerShell, or Bash
Cybersecurity fundamentals, threat landscapes, and attack methodologies Preferred Qualifications:
Experience with other search technologies (Solr, Lucene)
Elastic certifications (Elastic Certified Engineer, Elastic Observability Engineer)
Experience in DevOps or Site Reliability Engineering (SRE) roles
Background supporting large‑scale, distributed, or mission‑critical environments Position Details:
Location: Colorado Springs, CO
Schedule: On‑site, 4–5 days per week
Short‑duration domestic or international travel as needed
Collaboration with engineering, security, operations, and MSSP teams Compensation for the Elasticsearch & Observability Engineer includes:
Salary Range: $140,000 – $200,000
Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave (as required), Holidays

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