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Elastic Stack Elk Jobs (NOW HIRING)

Lorven Technologies

Software Developer

Philadelphia, PA · On-site

You'll also have experience with log management and analysis tools such as Elastic Stack (ELK), Splunk, and Grafana for data visualisation and monitoring. * Proven expertise in at least one scripting ...

S3 Staffing USA

RDK Developer

Philadelphia, PA

You ll also have experience with log management and analysis tools such as Elastic Stack (ELK), Splunk, and Grafana for data visualisation and monitoring. * Proven expertise in at least one scripting ...

Navtech, Inc.

URGENT NEED - ELK Architect - REMOTE

$66.50 - $84.75/hr

Position : ELK Architect (ElasticSearch) Location: 100 % Remote Duration: 6 to 12 Months Top ... Elastic Stack. 6. Evaluating existing Elastic clusters, configuration parameters, indexing ...

W3Global

RDK Developer

Philadelphia, PA

You'll also have experience with log management and analysis tools such as Elastic Stack (ELK), Splunk, and Grafana for data visualisation and monitoring. * Proven expertise in at least one scripting ...

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Elastic Stack Elk information

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How much do elastic stack elk jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for elastic stack elk in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.

What is the difference between Elastic Stack Elk vs Log Analyst?

AspectElastic Stack ElkLog Analyst
Required SkillsElasticsearch, Logstash, Kibana, Beats, scriptingLog analysis, data interpretation, troubleshooting
Work EnvironmentIT, DevOps, data engineering teamsSecurity, operations, cybersecurity teams
CertificationsElastic Certified Engineer, related certificationsNone specific, often self-taught or on-the-job
Industry UsageMonitoring, data visualization, search solutionsSecurity analysis, incident response, troubleshooting

Elastic Stack Elk professionals focus on deploying and managing the Elastic Stack for data search, visualization, and monitoring. Log Analysts interpret log data to identify issues and security threats. While both roles work with log data, Elastic Stack Elk specialists build and maintain the tools, whereas Log Analysts analyze logs for insights and troubleshooting.

What are the key skills and qualifications needed to thrive as an Elastic Stack (ELK) Engineer, and why are they important?

To thrive as an Elastic Stack (ELK) Engineer, you need strong expertise in Elasticsearch, Logstash, Kibana, and data pipeline design, often backed by a degree in computer science or a related field. Familiarity with tools like Beats, scripting languages (such as Python or Bash), and relevant Elastic certifications is highly valuable. Analytical thinking, problem-solving, and effective communication are crucial soft skills for diagnosing issues and collaborating with cross-functional teams. These skills ensure efficient log management, insightful data visualization, and reliable system performance in environments dependent on real-time data analysis.

What are common challenges faced by professionals working with the Elastic Stack (ELK), and how can they be addressed?

One common challenge for Elastic Stack (ELK) professionals is optimizing performance as data volumes grow, which often requires tuning indices, shards, and cluster configurations. Another frequent hurdle is ensuring data security and managing access controls, especially in multi-user environments. Collaboration with DevOps, security, and development teams is essential for integrating ELK into broader monitoring or analytics pipelines. Staying current with updates and best practices helps address these challenges and ensures smooth operation of the stack.

What is an Elastic Stack (ELK) Engineer?

An Elastic Stack (ELK) Engineer is a professional who specializes in deploying, configuring, and maintaining the Elastic Stack, which includes Elasticsearch, Logstash, and Kibana. These engineers help organizations collect, process, and analyze large volumes of data in real time for purposes like search, logging, and visualization. They are responsible for ensuring data flows smoothly through the stack, optimizing performance, and implementing security best practices. Additionally, they often support troubleshooting and integration with other systems to provide end-to-end data solutions.
Infographic showing various Elastic Stack Elk job openings in the United States as of May 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.
Senior Elastic Engineer with Security Clearance

Senior Elastic Engineer with Security Clearance

Zachary Piper Solutions, LLC

Colorado Springs, CO • On-site

$140K - $200K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 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 Keywords: #LI-RE1 #LI-Onsite elasticsearch engineer, observability engineer, elastic stack, ELK, kibana, grafana, logstash, beats, elastic agent, search engineering, distributed systems, cluster management, indexing strategies, query optimization, log analytics, metrics, tracing, monitoring, observability frameworks, SIEM, elastic SIEM, splunk, qradar, logrhythm, log ingestion, data pipelines, linux, unix, networking, cloud services, aws, azure, gcp, cloud monitoring, cloud logging, devops, sre, automation, python, bash, powershell, scripting, dashboards, visualizations, anomaly detection, data analysis, threat detection, cybersecurity, federal security, top secret clearance, cleared engineer, mission-critical systems, high-performance systems, on-prem, cloud environments, distributed logging, real-time monitoring, search technologies, lucene, solr, elastic certified engineer, elastic observability engineer, cluster scaling, performance tuning, index lifecycle management, ILM, data retention, security monitoring, mssp, federal programs, colorado springs, onsite role, technical documentation, system performance reporting, cross-functional collaboration, secure environments, high-visibility program.

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