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Elasticsearch Observability Engineer Jobs (NOW HIRING)

Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ... Solid understanding of observability, logging, metrics, and distributed systems. * Experience ...

Senior Software Engineer, Observability

$125K - $165K/yr

The Senior Software Engineer on the Observability team will design, build, and maintain ... e.g., Loki, ClickHouse, Elasticsearch, Prometheus, VictoriaMetrics, Grafana, Thanos). โ€ข ...

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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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Infographic showing various Elasticsearch Observability Engineer job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.
Sr. Elastic Engineer with Security Clearance

Sr. Elastic Engineer with Security Clearance

ECS

Reston, VA โ€ข On-site

$170K - $210K/yr

Other

Re-posted 23 days ago


Job description

Job Description ECS is seeking a Sr. Elastic Engineer to work in our Reston, VA office. Please Note: This position is contingent upon additional funding. Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency. We are seeking a Sr. Elastic Engineer to join our Managed Security Services (MSSP) team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows. Key Responsibilities: * Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. * Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows. * Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring. * Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift). * Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks. * Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources. * Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability. * Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams. * Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices. * Stay current with Elastic features, certifications, and emerging platform capabilities. Salary Range: $170,000 - $210,000 Required Skills * Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet). * Strong scripting and automation skills (Python, PowerShell, Bash, etc.). * Solid understanding of observability, logging, metrics, and distributed systems. * Experience designing, deploying, and optimizing production-scale Elastic environments. * Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GCP). * Ability to mentor, guide, and influence engineering teams on Elastic best practices. * Outstanding verbal and written communication skills. * Willingness and ability to support domestic or international on-site engagements. * U.S. Passport required. * Must have a TS/SCI Clearance, at minimum. * Must be eligible to obtain a U.S. Security Clearance. Desired Skills * Familiarity with SIEM concepts, Elastic Security, or other SIEM/EDR platforms. * Experience with containerization and orchestration (Kubernetes, Docker). * Experience with automation/orchestration tools (Terraform, Ansible, CI/CD pipelines). * Familiarity integrating Elastic with endpoint telemetry or cloud-native tools. * Certifications (preferred): * Elastic Certified Engineer, Elastic Security Engineer, Elastic Observability Engineer * AWS Certified Solutions Architect or equivalent * Docker Certified Associate (DCA) * Certified Kubernetes Administrator (CKA) * HashiCorp Certified: Terraform Associate * Red Hat Certified Specialist in Ansible Automation * Prior experience in DevOps, Site Reliability Engineering, or cloud platform roles is a plus. * Experience designing dashboards, observability frameworks, and large-scale workflows. * Experience with the below: * Platforms: On-premises, Public Cloud (AWS, Azure, GCP), GovCloud, hybrid deployments * Containerization: Kubernetes, Docker, OpenShift * Automation: Terraform, Ansible, CI/CD pipelines, Docker * Integrations: SIEMs (Splunk, Elastic Security), endpoint/security telemetry (CrowdStrike), cloud-native services * Competing Technologies: * Splunk, OpenSearch, Solr, Lucene, Graylog, Datadog, Elastic Cloud alternatives ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!