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$42.8K

$116.9K

$167.6K

How much do elk stack jobs pay per year?

As of Aug 15, 2026, the average yearly pay for elk stack in Pennsylvania is $116,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $135,100.00 per year, 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 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.

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 popular job titles related to Elk Stack jobs in Pennsylvania?

For Elk Stack jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Elk Stack jobs in Pennsylvania look for?

The top searched job categories for Elk Stack jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Elk Stack jobs?

Cities in Pennsylvania with the most Elk Stack job openings:

Elk Stack jobs near you
Infographic showing various Elk Stack job openings in Pennsylvania as of August 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,941 per year, or $56.2 per hour.

Graffana ELK Software Development Lead

System One

Pittsburgh, PA • On-site

Other

Re-posted 16 days ago

Job description

Job Title: Graffana ELK Software Development Lead

Duration : Full Time Location : Pittsburgh, PA

Work Mode : 5 Days Onsite

Years Of Exp : 8+ Yrs Job Description: Looking for Graffana ELK Software Development Lead to join our Applications Development and Maintenance team, supporting our client which is a large US Bank, working in an advanced technology environment. Duties and Responsibilities:

  • As a Graffana ELK Software development Lead, you will be responsible for leading 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.
  • Analyzing user requirements, and defines technical project scope and assumptions for assigned tasks.
  • Creating technical designs for new systems, and/or modifications to existing systems.
  • Translating detailed requirements into functional system designs.
  • Prioritizing work, meeting deadline and also establishing and maintaining 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.
Required Skills
  • Agile
  • Apache Kafka
  • Data Modeling
  • Elastic Stack & Elasticsearch
  • Structured Query Language (SQL)
Ref: #404-IT Pittsburgh