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Elasticsearch Observability Engineer Jobs in Utah

Sr. DevOps Engineer

Salt Lake City, UT · On-site

$125K - $161K/yr

Leveraging your expertise in AWS, Kubernetes, Infrastructure as Code, and Observability, you will ... Proficiency with Data Technologies (Postgres, Elasticsearch) * Proficiency with Message Brokers ...

Sr. DevOps Engineer

Salt Lake City, UT · On-site

$125K - $161K/yr

Leveraging your expertise in AWS, Kubernetes, Infrastructure as Code, and Observability, you will ... Proficiency with Data Technologies (Postgres, Elasticsearch) * Proficiency with Message Brokers ...

Elasticsearch Observability Engineer information

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.

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 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.

What are popular job titles related to Elasticsearch Observability Engineer jobs in Utah?

For Elasticsearch Observability Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Elasticsearch Observability Engineer jobs in Utah look for?

The top searched job categories for Elasticsearch Observability Engineer jobs in Utah are:

What cities in Utah are hiring for Elasticsearch Observability Engineer jobs?

Cities in Utah with the most Elasticsearch Observability Engineer job openings:

Sr. DevOps Engineer

1 O.C. Tanner Company

Salt Lake City, UT • On-site

$120 - $155/hr

Other

Posted 3 days ago

New


Job description

Job Summary

Location: Salt Lake City, UT (Hybrid)

As a DevOps Engineer, you will be a key driver in enhancing our CI/CD pipelines and ensuring the robustness of our AWS cloud infrastructure. You will build and maintain scalable systems and provide operational support to cross‑functional teams through infrastructure automation. The role includes participation in an on‑call rotation and occasional support outside business hours.

Key Responsibilities
  • Manage and improve cloud infrastructure using AWS and Terraform.
  • Build and maintain containerized environments with Kubernetes, ensuring scalability, resilience, and performance.
  • Implement and optimize CI/CD pipelines using GitHub Actions.
  • Develop and maintain scripts, tools, and automation in Go, Python, or Java for infrastructure management and monitoring.
  • Use Docker, Argo, Helm, and related tools.
  • Improve system observability by integrating logging, monitoring, and alerting solutions.
  • Troubleshoot, debug, and resolve infrastructure and application issues, collaborating with development teams.
  • Maintain and enhance security, availability, and performance of production systems.
  • Work closely with development, architecture, operations, and security teams to ensure best practices.
Qualifications
  • 5+ years of experience in DevOps or related infrastructure engineering roles.
  • Hands‑on experience with infrastructure‑as‑code tooling, CI/CD pipelines, and strong knowledge of GitHub Actions.
  • Proficiency in scripting languages and knowledge of AWS cloud platforms.
  • Strong communication, collaboration, and analytical skills.
  • Ability to manage multiple tasks simultaneously.
  • Solid understanding of observability tools and techniques (logging, metrics, monitoring, alerting).
  • Strong troubleshooting and debugging skills.
Bonus Skills
  • AWS or DevOps related certifications.
  • Experience with data technologies such as PostgreSQL, Elasticsearch.
  • Experience with message brokers such as ActiveMQ or Kafka.
  • Experience with GitOps, Flux, or Argo.
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