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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 ...

TekDallas

Sr. Incident Manager (IMT)

Miami, FL · On-site

... ELK Stack or OpenSearch to support incident investigation and RCA. • Serve as the primary escalation point for critical incidents, maintaining effective communication across all levels of ...

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 ...

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How much do elk stack jobs pay per hour?

As of Jul 9, 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.
More about Elk Stack jobs
What cities are hiring for Elk Stack jobs? Cities with the most Elk Stack job openings:
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Elk Stack jobs near you
Infographic showing various Elk Stack job openings in the United States as of July 2026, with employment types broken down into 25% Full Time, 25% Part Time, and 50% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.
AWS Migration DevOps & Networking Engineer *** Direct end client ***

AWS Migration DevOps & Networking Engineer *** Direct end client ***

Projas Technologies, LLC

San Diego, CA • On-site

$56 - $76.75/hr

Other

Posted 10 days ago

Job description

DevOps Engineer – Cloud, Automation, and MLOps

Job Description:
We are looking for an experienced DevOps Engineer with strong expertise in cloud infrastructure automation, CI/CD, and MLOps. The role involves designing and implementing scalable solutions for infrastructure provisioning, configuration management, and machine learning workflows. You will work with modern DevOps tools and best practices to ensure secure, reliable, and automated deployments across cloud environments.

Responsibilities:
  • Automate infrastructure provisioning and deployments using Terraform, CloudFormation, and other IaC tools.
  • Architect and implement MLOps pipelines for machine learning models using Kubeflow, MLflow, or similar frameworks.
  • Build and maintain CI/CD pipelines using GitLab, Jenkins, and integrate automated testing and deployment.
  • Manage configuration automation with Ansible, Puppet, or Chef.
  • Implement monitoring and alerting using Prometheus, Grafana, ELK Stack, and cloud-native tools.
  • Ensure security and compliance across infrastructure and deployments (IAM, encryption, vulnerability scanning).
  • Document cloud onboarding processes and maintain knowledge bases using Confluence.
  • Collaborate with development and operations teams to transition support and maintain operational excellence.
Technical Skills & Tools:
  • Cloud Platforms: AWS, Azure, Google Cloud Platform
  • Infrastructure as Code: Terraform, CloudFormation
  • CI/CD: GitLab, Jenkins, GitHub Actions
  • Configuration Management: Ansible, Puppet, Chef
  • Containers & Orchestration: Docker, Kubernetes
  • MLOps: Kubeflow, MLflow
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack
  • Scripting: Python, Bash
  • Version Control: Git
  • Security: IAM, SSL/TLS, compliance frameworks

DevOps, Terraform, CloudFormation, AWS, Azure, Google Cloud Platform, CI/CD, GitLab, Jenkins, GitHub Actions, Ansible, Puppet, Chef, Docker, Kubernetes, MLOps, Kubeflow, MLflow, Python, Bash, Prometheus, Grafana, ELK, Monitoring, Logging, Cloud Security, IAM, Automation, Infrastructure as Code, IaC, Cloud Infrastructure, Machine Learning Operations, Confluence, Git, Cloud Deployment, Continuous Integration, Continuous Delivery

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