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Logstash Jobs (NOW HIRING)

Experience with Logstash, Kibana, Metricbeats, and Filebeats is a plus. * Knowledge of Elasticsearch security practices, including role-based access control and SSL/TLS. * Scripting and automation ...

Sr. Elastic Engineer

Scott Air Force Base, IL ยท On-site

$110K - $151K/yr

Key Responsibilities: - Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. - Build and optimize ingestion pipelines, index ...

USIEM Elastic Engineer

Sierra Vista, AZ ยท On-site

$110K - $150K/yr

Demonstrated experience with the full Elastic Stack - Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration * Demonstrated ability to utilize Ansible Playbook

Sr. Elastic Engineer (Hanscom AFB)

Boston, MA ยท On-site

$113K - $155K/yr

Key Responsibilities: - Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. - Build and optimize ingestion pipelines, index ...

Sr. Elastic Engineer

Scott Air Force Base, IL ยท On-site

$100K - $138K/yr

Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. * Build and optimize ingestion pipelines, index strategies, search queries ...

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How much do logstash jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for logstash in the United States is $20.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Logstash Engineer, and why are they important?

To thrive as a Logstash Engineer, you need strong experience in data pipeline design, ETL processes, and a good understanding of the ELK Stack, often supported by a background in computer science or IT. Familiarity with Logstash configuration, regex, Elasticsearch, Kibana, and tools like Beats, as well as certifications such as Elastic Certified Engineer, are typically required. Analytical thinking, problem-solving, and effective communication help engineers troubleshoot issues and collaborate with cross-functional teams. These skills ensure reliable data ingestion, transformation, and visualization, which are vital for organizational insights and system monitoring.

What is Logstash and what is it used for?

Logstash is an open-source data processing pipeline that ingests, transforms, and forwards data from a variety of sources to a designated destination, such as Elasticsearch. It is often used as part of the Elastic Stack (ELK Stack) to collect logs, parse them, and transport them for analysis and visualization. Logstash supports a wide range of input, filter, and output plugins, making it highly versatile for handling logs, metrics, and other event data. Its ability to process and enrich data in real time makes it popular among organizations for centralized logging and monitoring.

What are some common challenges Logstash engineers face when managing large-scale data pipelines?

Logstash engineers working with large-scale data pipelines often encounter challenges such as managing throughput bottlenecks, optimizing pipeline performance, and handling diverse data formats. Ensuring data reliability and minimizing latency can require careful tuning of pipeline configurations and efficient resource allocation. Collaboration with DevOps, data engineering, and security teams is common to ensure seamless data flow and to troubleshoot issues quickly, making strong communication skills and adaptability important for success in this role.

What is the difference between Logstash vs Elasticsearch?

AspectLogstashElasticsearch
Primary FunctionData collection, processing, and transformationData storage, search, and analytics
Work EnvironmentPart of the Elastic Stack, used for log and event data processingDistributed search and analytics engine
Required SkillsData pipeline, scripting, and log managementSearch queries, data indexing, and cluster management

Logstash and Elasticsearch are both key components of the Elastic Stack but serve different purposes. Logstash handles data collection and processing, while Elasticsearch stores and enables fast search and analysis of that data. They are often used together to build comprehensive logging and analytics solutions.

More about Logstash jobs
Infographic showing various Logstash job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,520 per year, or $20.4 per hour.
Graffana ELK Software Development Lead

Graffana ELK Software Development Lead

System One

Pittsburgh, PA โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Job Title: Graffana ELK Software Development Lead Location: Pittsburgh, Pennsylvania Type: Full Time Work Model: Onsite โ€“ onsite

Responsibilities

  • Lead the design, development, and implementation of enterprise observability and monitoring solutions using Grafana, Elasticsearch, Logstash, Kibana (ELK).
  • Architect scalable logging, monitoring, alerting, and visualization frameworks to provide end-to-end visibility into application, infrastructure, and business-critical systems.
  • Drive the development and optimization of centralized log management platforms using Elasticsearch and Logstash, ensuring high availability, detecting anomalies, and data retention compliance.
  • Design and develop interactive Grafana dashboards, reports, and real-time monitoring solutions to support operational intelligence, performance analysis, and executive reporting.
  • Develop and maintain automated alerting strategies using Grafana, Elasticsearch, Prometheus, and integrated monitoring tools to improve system reliability and reduce mean time to resolution.
  • Monitor, troubleshoot, and tune Kafka streaming jobs to improve performance, scalability, and operational reliability.
  • Collaborate with architects, data engineers, DevOps teams, and business stakeholders to design and implement modern streaming and event-driven data platforms.
  • Analyze user requirements, and define technical project scope and assumptions for assigned tasks.
  • Create technical designs for new systems, and/or modifications to existing systems.
  • Translate detailed requirements into functional system designs.
  • Prioritize work, meet deadlines, and establish and maintain effective working relationships with clients, project team members, supervisors, and employees from other departments.
  • Partner with business leaders, enterprise architects, and product owners to identify new graph-based use cases, evaluate emerging technologies, and align Neo4j initiatives with digital transformation goals.

Requirements

  • At least 8+ years of experience in software development, observability engineering, monitoring platforms, or enterprise logging solutions, with demonstrated leadership experience.
  • Strong hands-on experience with Grafana, Elasticsearch, Logstash, Kibana (ELK Stack), and related observability and monitoring technologies.
  • Experience developing custom Grafana dashboards, visualizations, alerts, and reporting solutions for application, infrastructure, and business monitoring.
  • Extensive experience designing and implementing centralized logging, monitoring, alerting, and dashboarding solutions in large-scale enterprise environments.
  • Strong knowledge of Elasticsearch, indexing strategies, shard management, performance tuning, and capacity planning.
  • Good to have Kafka streaming knowledge along with relational databases.
  • Strong analytical, troubleshooting, and performance tuning skills in distributed streaming environments.
  • Excellent communication, collaboration, and stakeholder management skills, with the ability to work effectively in Agile/Scrum teams.
  • Experience working in Agile development environments with strong collaboration, technical leadership, problem-solving, and stakeholder communication skills.

System One, and its subsidiaries including Joulรฉ and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #404-IT Pittsburgh