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Elasticsearch Observability Engineer Jobs in Chicago, IL

Remote_Observability Architect

Chicago, IL · On-site

$66.75 - $87.50/hr

Elasticsearch (Expert Level) * ELK Stack (Elasticsearch, Logstash, Kibana) * Observability ... Authorization DevOps * CI/CD * Terraform * Ansible * Infrastructure as Code (IaC) Programming

Senior DevOps Engineer

Chicago, IL · On-site

$160K - $185K/yr

Perform upgrades and patching for core systems such as ElasticSearch, Postgres, and RabbitMQ ... Monitoring & Observability * Maintain and upgrade monitoring tools such as Datadog. * Track ...

Perform upgrades and patching for core systems such as ElasticSearch, Postgres, and RabbitMQ ... Monitoring & Observability * Maintain and upgrade monitoring tools such as Datadog. * Track ...

Senior Software Engineer

Chicago, IL · On-site

$112K - $183K/yr

Contribute to CI/CD pipeline automation, deployment processes, observability, and operational ... Elasticsearch. * Experience developing automated unit, integration, and performance tests, and ...

Principal Software Engineer - U.S. (remote)

Chicago, IL · On-site +1

$139K - $186K/yr

ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph ... and observability systems like Logging and Distributing Tracing Systems Experience with Domain ...

Lead Software Engineer

Chicago, IL · On-site

$128K - $208K/yr

... scalability, observability, security, and maintainability. * Drive quality engineering through ... Elasticsearch, and Redis. * Hands-on experience building and maintaining CI/CD pipelines using ...

Principal Software Engineer - U.S. (remote)

Chicago, IL · On-site +1

$139K - $186K/yr

ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph ... observability systems like Logging and Distributing Tracing Systems • Experience with Domain ...

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 Chicago, IL?

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

What job categories do people searching Elasticsearch Observability Engineer jobs in Chicago, IL look for?

The top searched job categories for Elasticsearch Observability Engineer jobs in Chicago, IL are:

Infographic showing various Elasticsearch Observability Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution.

Remote_Observability Architect

Chicago, IL • On-site

Themesoft, Inc.
IT Services • 11 - 50 employees

$66.75 - $87.50/hr

Full-time

Re-posted 18 days ago


Job description

Overview:
Hi,
Our client is seeking an experienced professional with the skill set outlined below. If you are interested in this opportunity, please review the job description and share your updated resume along with your contact details.
Observability Architect (ELK Stack)
Location: Chicago, IL or Remote
Duration: 6 Months
Experience: 10+ Years
Top 5 Mandatory Skills
  1. Elasticsearch (Expert Level)
  2. ELK Stack (Elasticsearch, Logstash, Kibana)
  3. Observability & Monitoring Architecture
  4. Performance Tuning & Cluster Design
  5. Infrastructure as Code (Terraform/Ansible)

Must-Have Skills
ELK Stack
  • Elasticsearch (Expert)
  • Logstash
  • Kibana
  • ELK Architecture
  • Logging & Monitoring
  • Data Ingestion Pipelines

Elasticsearch Expertise
  • Distributed Cluster Architecture
  • Cluster Design
  • Index Design
  • Query DSL
  • Aggregations
  • Search Optimization
  • Performance Tuning
  • Scaling
  • Sharding Strategy
  • Index Lifecycle Management (ILM)
  • Data Streams
  • High Availability & Disaster Recovery (HA/DR)
  • Multi-Region Deployment

Security
  • RBAC (Role-Based Access Control)
  • TLS/SSL
  • Authentication
  • Authorization

DevOps
  • CI/CD
  • Terraform
  • Ansible
  • Infrastructure as Code (IaC)

Programming
  • Python
  • Java
  • Bash

Good-to-Have Skills
  • AIOps
  • ITOM
  • Splunk
  • Grafana
  • Prometheus
  • OpenTelemetry
  • Kubernetes
  • Cloud Platforms (AWS, Azure, GCP)

Key Responsibilities
  • Architect and manage enterprise-scale ELK environments.
  • Design Elasticsearch clusters for scalability, high availability, and performance.
  • Develop Logstash pipelines for reliable log ingestion.
  • Create Kibana dashboards, reports, and alerts for operational visibility.
  • Optimize Elasticsearch indexing, storage, queries, and aggregations.
  • Implement ILM policies, data streams, and sharding strategies.
  • Design HA/DR and multi-region Elasticsearch deployments.
  • Secure the ELK platform using RBAC, TLS, and authentication mechanisms.
  • Automate deployments using Terraform, Ansible, and CI/CD pipelines.
  • Mentor engineering teams and establish ELK best practices.

Thanks ,