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Elk Stack Jobs in McLean, VA (NOW HIRING)

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ELK / ESS Engineer

Mclean, VA · On-site

Key feature required include query tuning, indexing strategy, cluster monitoring, and troubleshooting, often using the ELK stack. * Designing, implementing, and managing search and analytics ...

HHB Systems

ELK Engineer

Springfield, VA

Strong Linux or ELK stack skills * Strong scripting skills using languages (i.e. Ruby, Python, Bash, Perl, etc.) * Experience collaborating with and/or partnering with infrastructure service ...

HHB Systems

ELK Engineer

Springfield, VA · On-site

Strong Linux or ELK stack skills * Strong scripting skills using languages (i.e. Ruby, Python, Bash, Perl, etc.) * Experience collaborating with and/or partnering with infrastructure service ...

Nightwing

Software Developer

Sterling, VA · On-site

Angular • TypeScript • Browser technologies (HTML, HTTP, and CSS) • PostgreSQL • AWS (including Lambdas, API Gateway) • Elasticsearch ELK stack (desired) • Cypress (desired) • ...

2HB Incorporated

Sr. Software Engineer

Annapolis Junction, MD · On-site

$134K - $177K/yr

Candidate should be familiar with Git, Gradle, Guice/Dependency Injection, Docker, and REST; experience with the ELK stack, MongoDB, Ansible, and Kubernetes is strongly desired. Any background ...

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How much do elk stack jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for elk stack in McLean, VA is $59.90, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $68.99 per hour, depending on experience, location, and employer.

What is the ELK Stack?

The ELK Stack is a collection of three open-source tools—Elasticsearch, Logstash, and Kibana—commonly used for searching, analyzing, and visualizing large volumes of log data in real time. Elasticsearch is a powerful search and analytics engine, Logstash is a data processing pipeline that ingests and transforms data, and Kibana provides visualization capabilities on top of the data stored in Elasticsearch. Together, they help organizations monitor applications, troubleshoot issues, and gain insights from their data.

What are the key skills and qualifications needed to thrive as an ELK Stack engineer, and why are they important?

To thrive as an ELK Stack Engineer, you need a solid understanding of Elasticsearch, Logstash, and Kibana, as well as experience with data indexing, search, and visualization, typically supported by a degree in computer science or related field. Familiarity with tools like Beats, scripting languages (such as Python or Bash), and certifications like Elastic Certified Engineer are commonly valuable. Strong problem-solving, analytical thinking, and effective communication skills help you interpret data requirements and collaborate with teams. These competencies are crucial to designing, implementing, and maintaining scalable log management and analytics solutions that support business operations.

What are some typical challenges faced when managing and scaling an ELK Stack deployment in a production environment?

One common challenge is ensuring the ELK Stack remains performant as log volume and query complexity increase, which often requires careful resource planning and tuning of Elasticsearch indices. Another challenge is maintaining data security and compliance, as logs can contain sensitive information that must be protected. Additionally, team members often need to collaborate closely with DevOps, security, and development teams to tailor dashboards and alerts to business needs, which can demand strong communication and coordination skills. Proactive monitoring, regular updates, and automation can help address these challenges and ensure reliable log management.

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Elk Stack jobs near you

SME - Observability, ELK Stack & Dynatrace

ASCENDING LLC

Fairfax, VA • On-site

Full-time

Re-posted 19 days ago

Job description

Senior Observability Engineer (SME)
Long-term contract - 2+ years 100% remote in the continental US
Job Description:
Our client's Enterprise Observability team is looking for a senior-level ELK Stack Subject Matter Expert (SME). The team is responsible for enterprise infrastructure, application, and network observability, with a primary focus on log management and metrics. The selected candidate will be joining a team of skilled engineers with a broad background in enterprise observability.
Your Impact:
As an ELK Stack Engineer, this role is focused on maintaining the reliability, scalability, and availability of our enterprise Elastic Stack solution. This platform is used for log management, metrics, and observability. The role heavily utilizes automation with tools like Terraform and Ansible and requires the candidate to maintain performance KPIs and define SLOs for the platform.
Responsibilities:
  • Maintain and deploy monitoring and alerting systems within the Dynatrace or ELK Stack.
  • Design, configure, and maintain our large-scale log aggregation solution using Elasticsearch and Logstash.
  • Set up and manage data ingestion pipelines and transformations using tools like Filebeat, Logstash, and/or Fluentd/Fluentbit.
  • Embrace the mindset of "automate any task" to improve efficiency.
  • Build and maintain robust monitoring systems using Elasticsearch, Kibana, and Beats to proactively detect potential issues and trigger timely alerts.
  • Maintain associated documentation as it applies to our audit and certification requirements.
  • Participate in troubleshooting, capacity planning, and performance analysis activities related to the ELK Stack.
  • Research new observability requirements and, in many cases, write code to implement them.
  • Possess strong expertise in setting up monitoring policies, rules, and templates, and writing scripts to accomplish observability requirements.
What you need to succeed:
  • BS/MS in CS/Engineering or equivalent, OR 5+ years of experience.
  • 4+ years of experience working directly with the Dynatrace or ELK Stack as either an Admin, SME, or Architect.
  • Hands-on experience with designing data pipelines using Logstash, and/or Fluentd/Fluentbit.
  • Expert-level knowledge of the ELK Stack (on-prem and cloud), including best practices related to performance, security, and component setup (Elasticsearch, Logstash, Kibana, Beats).
  • Fluent in writing scripts in languages like Python and (Bash or PowerShell) to automate tasks.
  • Experience in Terraform and Ansible, including syntax, best practices, and managing complex configurations to build and manage infrastructure and applications.
  • Very good working knowledge of Linux OS.
  • Highly self-motivated and directed.
  • Good analytical and problem-solving/troubleshooting abilities.

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