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Elk Stack Jobs (NOW HIRING)

MM International

Full Stack Java Developer

Iselin, NJ · On-site

$53.25 - $68.75/hr

... ELK Stack, Splunk, AppDynamics, ThousandEyes • 5+ Proficiency in scripting languages such as Python, Bash, Shell • 5+ Years of experience with API integration using Apigee, Rest API, Kafka • 3+ ...

Stefanini

DevOps Engineer

Almont, CO · On-site

$53 - $72.50/hr

ELK Stack Implementation: Design and maintain a robust logging, monitoring, and alerting architecture using the ELK Stack (Elasticsearch, Logstash, Kibana).Configure system and application logs ...

Peraton

Federation/Integration Engineer/UI

$80K - $128K/yr

Configure and maintain ELK Stack pipelines, dashboards, monitoring, and alerting * Create secure, scalable data exchanges between IAM, ServiceNow, and observability platforms * Troubleshoot complex ...

CYNET SYSTEMS

Java Lead with GCP

Issaquah, WA · On-site

$60 - $65/hr

Knowledge of monitoring tools (Prometheus, Grafana, ELK stack). * Excellent communication and leadership skills. * Experience working in Agile/Scrum environments. Responsibilities: * Lead backend ...

Quiet Professionals LLC

DevOps Engineer

Tampa, FL · On-site

$49.75 - $68.25/hr

Utilizing observability tools (Prometheus, Grafana, ELK stack). Required Skills and Competencies * Expertise in Kubernetes, Docker, Terraform, Ansible, and CI/CD tools (Jenkins, GitLab CI/CD, Azure ...

SysMind, LLC

Abinitio Admin

Columbus, OH

... Splunk| ELK stack)Key Performance IndicatorsSystem uptime and availability (target 99.5)Deployment success rate and time-to-deployment * Incident response time and resolution * Environment ...

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How much do elk stack jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for elk stack 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 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.
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Elk Stack jobs near you
Infographic showing various Elk Stack job openings in the United States as of June 2026, with employment types broken down into 45% Full Time, 5% Part Time, and 50% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.

Software Engineer / Senior Software Engineer

Futran Tech Solutions Pvt. Ltd.

Austin, TX

$121K - $160K/yr

Other

Posted 18 days ago

Job description

Software Engineer / Senior Software Engineer

AI-Enabled Logging Platform Modernization (ELK Stack | .NET | AWS)

Role Overview

We are looking for strong software engineers with hands-on experience in ELK stack, enterprise logging frameworks, .NET application ecosystems, and AI-assisted development practices to support a strategic logging modernization initiative. The team will work on consolidating and migrating multiple application logging frameworks into a unified ELK-based observability platform. Most applications are built on .NET, Angular, and AWS-based architectures. The role requires expertise in scalable logging architectures, Kibana dashboards, log ingestion pipelines, and modern agentic AI-driven development practices.

Key Responsibilities
  • Design, develop, and migrate enterprise logging frameworks into a centralized ELK (Elasticsearch, Logstash, Kibana) platform
  • Implement observability and logging standards across.NET, Angular, and AWS-based applications
  • Build scalable log ingestion, parsing, indexing, and visualization pipelines
  • Standardize structured logging patterns across distributed systems and microservices
  • Integrate application logs, infrastructure logs, and cloud-native monitoring into a unified platform
  • Develop dashboards, alerts, and monitoring capabilities using Kibana
  • Optimize Elasticsearch clusters for performance, scalability, and reliability
  • Enable operational intelligence through centralized logging, analytics, and observability
  • Collaborate with platform engineering, DevOps, SRE, and cloud teams for rollout and adoption
  • Leverage AI-assisted / agentic development approaches for automation, code generation, debugging, and operational productivity
  • Support CI/CD integration and automation for observability deployment workflows
Required Skills
  • Strong hands-on experience with Elasticsearch, Logstash, Kibana, Beats / Fluentd / Fluent Bit
  • Experience implementing logging solutions for.NET /.NET Core and Angular applications
  • Strong understanding of distributed systems and microservices architectures
  • Experience with structured logging frameworks such as Serilog, NLog, Log4Net

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