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Logstash Jobs (NOW HIRING)

Adbakx LLC

ELK Engineer(92860-1)

Las Vegas, NV · On-site

Hello, Position: ELK Engineer (Elasticsearch, Logstash, and Kibana) Location: Las Vegas Nevada Onsite Contract ELK Developer experience: ELK Developer designs, implements, and manages the ...

Q1 Technologies, Inc.

ELK Engineer

Las Vegas, NV · On-site

Key responsibilities include configuring Logstash for data processing, optimizing Elasticsearch for data storage and retrieval, developing Kibana dashboards for insights, and ensuring the system ...

Tech Tammina LLC

ELK Engineer

Alpharetta, GA · On-site

ELK Engineer (Onsite - Alpharetta, GA) ELK Engineer, Alpharetta, GA Locals, "7+ years of experience with ELK Stack: (Elasticsearch, Logstash, Kibana and beats), Ruby and/or Python, GIT and Unix Shell ...

Volto USA

ELK Engineer at Las Vegas, NV

Las Vegas, NV · On-site

Key responsibilities include configuring Logstash for data processing, optimizing Elasticsearch for data storage and retrieval, developing Kibana dashboards for insights, and ensuring the system ...

Tech Tammina

ELK Engineer

Alpharetta, GA · On-site

ELK Engineer (Onsite - Alpharetta, GA) ELK Engineer, Alpharetta, GA Locals, "7+ years of experience with ELK Stack: (Elasticsearch, Logstash, Kibana and beats), Ruby and/or Python, GIT and Unix Shell ...

Conviso Inc.

Elastic Stack Developer

Washington, DC · Remote

Key Responsibilit * iesDesign and optimize Elastic Stack solutions (Elasticsearch, Logstash, Kibana, Bea * ts)Develop data ingestion pipelines and custom integrati * onsCreate and maintain Kibana ...

TriOptus LLC

Elastic Search Engineer

Dahlonega, GA · On-site

$110K - $152K/yr

If you have 7+ years of experience with ELK Stack (ElasticSearch, Logstash, Kibana, and Beats), along with strong expertise in automation, version control, and scaling data architectures, this is the ...

Mitchell Martin

Software Engineers

Manhattan, NY

Software Engineer Design and develop financial software applications for the banking industry using J2EE, Spring Boot, Logstash, ELK stack, Kubernetes, MQ, Agile/Waterfall; Design and develop key ...

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How much do logstash jobs pay per hour?

As of Jun 19, 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 used for?

Logstash is a data processing pipeline used by data analysts and engineers to collect, parse, and transform log and event data from various sources. It is commonly integrated with Elasticsearch and Kibana as part of the Elastic Stack for real-time data analysis and visualization. Proficiency in scripting and understanding of data formats enhances its effective use in monitoring and troubleshooting systems.

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 jobs will still be around in 2050?

Logstash-related roles, such as data engineers and DevOps engineers, are expected to remain in demand due to ongoing needs for data processing, integration, and automation. Skills in data management, scripting, and familiarity with cloud environments will continue to be valuable in the evolving tech landscape. However, rapid technological changes may also lead to new tools and roles emerging over time.

Is Logstash still relevant?

Logstash is a widely used open-source data processing pipeline for collecting, parsing, and transforming logs and event data, often as part of the Elastic Stack. It remains relevant for organizations implementing real-time data analysis, monitoring, and centralized logging, especially when combined with Elasticsearch and Kibana. Knowledge of Logstash, along with related tools like Elasticsearch, is valuable for roles in data engineering and DevOps.

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.

Is elastic fully remote?

Logstash is a tool used in data processing and is often part of roles related to Elasticsearch and the Elastic Stack. Whether a specific Logstash job is fully remote depends on the employer, but many companies in the tech industry offer remote positions for roles involving data engineering, DevOps, and related skills. It is common to find remote opportunities for these positions, especially for candidates with experience in scripting, Linux, and cloud environments.

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
What job categories do people searching Logstash jobs look for? The top searched job categories for Logstash jobs are:
Logstash jobs near you

ELK Stack Engg-Admin, ElasticSearch, Logstash, Kibana, GIT, Shell 12+ Mts Con Alpharetta, GA

ZnA Inc

Alpharetta, GA • On-site

Contractor

Posted 21 days ago

Job description

ELK Stack Engg-Admin, ElasticSearch, Logstash, Kibana,  GIT, Shell 12+ Mts Con Alpharetta, GA

JPC - 3520

Level 4: (10+ Yrs of experience) 

Loc: Alpharetta, GA 

Dur: 12+ Months Contract ( Hybrid 3 days a week onsite) 


ELK Stack Engineer Cum Admin, ElasticSearch, Logstash, Kibana, beats, Ruby/Python, GIT, Shell 12+ Mths Cont Alpharetta, GA 

Description:

BUILD, Maintian and optimize the ElasticSearch, Eleastic Clusters from Scratch, upgrade from other version to ElasticSearch, 
ELK Administration, ELK Architecture, UNIX/Shell, GIT, Kafka, Configure Grafana dashboards - Great Comm Skills. 

Qualifications -

7+ years of experience with ELK Stack: ElasticSearch, Logstash, Kibana and beats. Good to have Ruby and/or Python, GIT and Unix Shell scripting knowledge.

Responsibilities include:

1. Build, maintain and optimize Elastic clusters focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine task and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash, Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot, diagnose and resolve issues related to Elasticsearch, Logstash, Kibana and related components.
14. Collaborate with cross functional teams to gather requirements and design elastic stack solution tailored to specific use cases.

Soft Skills -
1. Good verbal and written communication skills.
2. Good analytical and problem-solving skills.
3. Good team player.