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Elk Stack Jobs in Maryland (NOW HIRING)

Lead Platform Engineer

Baltimore, MD · On-site

$101K - $134K/yr

Role Summary The Lead Platform Engineer - ELK Stack Administration serves as a senior technical contributor and subject-matter expert for the Elastic Stack, including Elasticsearch, Logstash, Kibana ...

Sr. Software Engineer

Annapolis Junction, MD · On-site

$134K - $177K/yr

Candidate should be familiar with Git, Gradle, Guice/Dependency Injection, Docker, and REST; experience with the ELK stack, MongoDB, Ansible, and Kubernetes is strongly desired. Any background ...

Sr. Software Engineer

Annapolis, MD · On-site

$121K - $159K/yr

Candidate should be familiar with Git, Gradle, Guice/Dependency Injection, Docker, and REST; experience with the ELK stack, MongoDB, Ansible, and Kubernetes is strongly desired.Any background ...

Experience with system monitoring, introspection, and visualization technologies (Grafana, Prometheus, ELK stack) * Experience supporting full-stack solutions including RESTful API and Angular-based ...

Python Developer

Columbia, MD · On-site

$107.90 - $195.05/hr

Experience with system monitoring, introspection, and visualization technologies (Grafana, Prometheus, ELK stack) * Experience supporting full-stack solutions including RESTful API and Angular-based ...

Python Developer

Columbia, MD · On-site

$107K - $195K/yr

... ELK stack) Experience supporting full-stack solutions including RESTful API and Angular-based web UI Linux system administration experience. Specific Duties: Troubleshoot and maintain the deployed ...

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Elk Stack information

See Maryland salary details

$44.2K

$120.6K

$172.8K

How much do elk stack jobs pay per year?

As of Aug 22, 2026, the average yearly pay for elk stack in Maryland is $120,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $139,300.00 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 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 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 cities in Maryland are hiring for Elk Stack jobs?

Cities in Maryland with the most Elk Stack job openings:

Infographic showing various Elk Stack job openings in Maryland as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,613 per year, or $58 per hour.

Lead Platform Engineer

Infovision

Baltimore, MD • On-site

$101K - $134K/yr

Other

Posted 9 days ago


Job description

Title - Lead Platform Engineer Location - Evansville, IN and OneMain corporate offices in Baltimore, MD; Wilmington, DE; Charlotte, NC; Irving, TX Job Description OneMain Financial is the country’s largest lending-exclusive financial company, proudly serving millions of customers with safe, affordable, and transparent installment loans. Customers turn to us every day—online and through more than 1,400 branches across 44 states—to help them take control of and improve their financial lives. For more than 100 years, our mission has remained the same: doing the right thing for our customers, employees, and communities. Role Summary The Lead Platform Engineer – ELK Stack Administration serves as a senior technical contributor and subject-matter expert for the Elastic Stack, including Elasticsearch, Logstash, Kibana, and related data-ingestion and observability technologies. The primary focus of this role is the administration, reliability, performance, security, scalability, and ongoing improvement of Elastic environments across cloud and on-premises infrastructure. The engineer will design, deploy, monitor, troubleshoot, automate, and support highly available Elastic platforms used for centralized logging, search, metrics analytics, observability, and data-driven applications. In addition to the core ELK Stack responsibilities, this role will assist with broader platform engineering, DevOps, cloud infrastructure, CI/CD, automation, monitoring, and operational support activities as business and team needs require. The successful candidate will work closely with application development, architecture, security, cloud, networking, observability, and operations teams in an Agile delivery environment. Key Responsibilities ELK Stack Administration and Operations Platform Design and Engineering Performance, Reliability, and Capacity Management Automation and DevOps Integration Observability and Operational Excellence Technical Leadership and Collaboration Mentorship and Continuous Improvement Qualifications Required Preferred Additional Information Primary skill emphasis: Elasticsearch and ELK Stack administration. The employee may assist with additional platform engineering, DevOps, automation, cloud, infrastructure, and operational duties based on business needs. Hybrid/Onsite Requirement: 3 days per week Candidates must live within 50 miles of the OneMain corporate office in Evansville, IN. We will also consider candidates that live within 50 miles of OneMain corporate offices in Baltimore, MD; Wilmington, DE; Charlotte, NC; Irving, TX. The position may begin as a contract engagement with the potential for extension or conversion to full-time employment. Candidates must live within 50 miles of locations mentioned above to be considered for FTE conversion. Skill/Experience/Education Mandatory Skills Advanced hands-on experience administering production ELK/Elastic Stack environments, including Elasticsearch, Logstash, and Kibana. Strong knowledge of Elasticsearch cluster architecture, including node roles, shards, replicas, mappings, templates, aliases, data streams, and index lifecycle management. Experience deploying, configuring, monitoring, maintaining, and troubleshooting highly available multi-node Elasticsearch clusters. Proven ability to diagnose and resolve cluster health, indexing, query performance, shard allocation, JVM, storage, and data-ingestion issues. Experience performing Elastic Stack upgrades, patching, migrations, backups, snapshots, restoration, and disaster-recovery activities. Experience designing and maintaining Logstash pipelines, Elasticsearch ingest pipelines, Beats, Elastic Agent, or equivalent data-ingestion integrations. Knowledge of Elastic security capabilities, including authentication, authorization, role-based access control, encryption, certificates, and audit logging. Experience with Elasticsearch performance tuning, capacity planning, index optimization, query optimization, shard rebalancing, and retention management. Hands-on experience creating and supporting Kibana dashboards, visualizations, monitoring, and alerting. Experience with Infrastructure as Code and configuration-management tools, particularly Terraform and Ansible. Experience developing automation and operational tooling using Python, Bash, APIs, or similar scripting technologies. Working knowledge of CI/CD pipelines, Git-based source control, automated deployments, and configuration validation. Experience supporting Elastic platforms in cloud, on-premises, or hybrid infrastructure environments. Understanding of platform reliability and operational practices, including monitoring, alerting, incident response, SLOs, runbooks, and problem management. Desired SkillsStrong troubleshooting, analytical, documentation, communication, and cross-functional collaboration skills. Ability to work independently as a senior individual contributor, provide technical leadership, and mentor other engineers. Willingness and ability to assist with broader platform engineering, DevOps, automation, cloud, infrastructure, and operational responsibilities as needed.