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Elasticsearch Observability Engineer Jobs (NOW HIRING)

Mondo

Sr Elastic Engineer

Hampton, VA · Hybrid

$160/hr

This role requires deep expertise in Elastic technologies, automation, observability, and cloud ... Design, deploy, and maintain Elastic Stack environments including Elasticsearch, Kibana, Logstash ...

Apply Early

Mondo

Sr Elastic Engineer

Hampton, VA · On-site

$160/hr

This role requires deep expertise in Elastic technologies, automation, observability, and cloud ... Design, deploy, and maintain Elastic Stack environments including Elasticsearch, Kibana, Logstash ...

Placed

Senior DevOps Engineer

Aurora, CO

$70/hr

... s and Observability Engineer, on contract. The role covers infrastructure automation, CI/CD ... Splunk and/or ELK Stack (Elasticsearch, Logstash, Kibana) • Observability and alerting:

ECS

Sr. Elastic Engineer

Bedford, MA · On-site

$109K - $150K/yr

Required : • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats ... of observability, logging, metrics, and distributed systems. • Experience designing, deploying ...

ECS

Sr. Elastic Engineer

Colorado Springs, CO · On-site

$100K - $138K/yr

Required : • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats ... of observability, logging, metrics, and distributed systems. • Experience designing, deploying ...

ECS

Sr. Elastic Engineer

Hampton, VA · On-site

Required : • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats ... of observability, logging, metrics, and distributed systems. • Experience designing, deploying ...

Tata Consultancy Service Limited

Engineer

Chandler, AZ · On-site

$110K - $125K/yr

Must Have Technical/Functional Skills Job Summary Seeking an experienced Reporting & Observability ... Elasticsearch, Splunk, SQL databases, or equivalent. • Solid understanding of metrics, logs, and ...

Freddie Mac

Site Reliability Engineer Tech Lead

Dallas, TX · On-site

$56.50 - $75/hr

... (SRE) who will blend software engineering with IT operations to ensure the reliability ... Extensive experience with observability and monitoring platforms (Elasticsearch Observability ...

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All JobsElasticsearch Observability Engineer Jobs

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.

More about Elasticsearch Observability Engineer jobs
What cities are hiring for Elasticsearch Observability Engineer jobs? Cities with the most Elasticsearch Observability Engineer job openings:
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Elasticsearch Observability Engineer jobs near you
Infographic showing various Elasticsearch Observability Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.
Principal Cribl Engineer - Observability

Principal Cribl Engineer - Observability

LiquidKinetics

Washington, DC • On-site

Full-time

Retirement, PTO

Posted 18 days ago

Be an early applicant

Job description

LiquidKinetics is seeking an experienced Principal Cribl Engineer specializing in Observability to lead the design, implementation, and optimization of data routing and processing solutions within our observability platforms. This senior role involves architecting scalable Cribl infrastructure, collaborating with cross-functional teams to enhance data visibility, and driving best practices in data management to support real-time analytics and monitoring.

The ideal candidate will have a deep understanding of Cribl Stream, log and metrics data pipelines, and observability frameworks, with proven leadership experience in complex environments. This position offers the opportunity to influence the future of observability engineering within a mission-critical and fast-paced organization.

Responsibilities
  • Lead the architecture and deployment of Cribl streaming solutions to handle large-scale observability data.
  • Design and implement efficient data routing, transformation, and shaping rules to optimize data flow and storage.
  • Collaborate with engineering, security, and operations teams to ensure seamless integration with monitoring and alerting platforms.
  • Establish and enforce best practices for observability data pipelines, quality, and security.
  • Troubleshoot complex issues related to Cribl infrastructure and data ingestion.
  • Mentor and provide technical guidance to junior engineers and cross-functional stakeholders.
  • Document architecture designs, processes, and configurations to support knowledge sharing and operational continuity.

Requirements

  • Active TS/SCI security clearance is preferred.
  • Extensive experience with Cribl Stream and observability data pipelines.
  • Strong expertise in designing, implementing, and managing large-scale data routing and transformation systems.
  • Solid understanding of observability concepts, including metrics, logs, traces, and related monitoring tools.
  • Proven leadership skills with experience mentoring technical teams.
  • Excellent problem-solving and analytical abilities to troubleshoot complex data infrastructure challenges.
  • Strong communication skills capable of conveying complex technical concepts to diverse audiences.
  • Experience integrating Cribl with platforms such as Splunk, Elasticsearch, or other observability tools is a plus.
  • Familiarity with security best practices in data processing environments.

Benefits

  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development