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Elastic Stack Elk Jobs (NOW HIRING)

... the Elastic Stack (ELK) and Confluent Kafka platforms. The role emphasizes software development, platform integration, operational monitoring, troubleshooting, automation, and performance ...

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Sr. DevOps Engineer

Mountain View, CA · On-site

$176K - $293K/yr

Elastic Stack (ELK), Prometheus, Grafana * Understanding of SRE principles and incident response practices * Solid troubleshooting skills across systems, networking, and distributed applications

... ELK stack. • Knowledge of scripting languages, such as JavaScript, Python, Bash, etc. Desired ... Elastic Certified Engineer, Elastic Certified Analyst, or Elastic Certified Observable Engineer • ...

Strong knowledge of ELK stack. * Knowledge of scripting languages, such as JavaScript, Python, Bash ... Elastic Certified Engineer, Elastic Certified Analyst, or Elastic Certified Observable Engineer

Strong knowledge of ELK stack. * Knowledge of scripting languages, such as JavaScript, Python, Bash ... Elastic Certified Engineer, Elastic Certified Analyst, or Elastic Certified Observable Engineer

Strong knowledge of ELK stack. * Knowledge of scripting languages, such as JavaScript, Python, Bash ... Elastic Certified Engineer, Elastic Certified Analyst, or Elastic Certified Observable Engineer

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Elastic Stack Elk information

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How much do elastic stack elk jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for elastic stack elk 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 difference between Elastic Stack Elk vs Log Analyst?

AspectElastic Stack ElkLog Analyst
Required SkillsElasticsearch, Logstash, Kibana, Beats, scriptingLog analysis, data interpretation, troubleshooting
Work EnvironmentIT, DevOps, data engineering teamsSecurity, operations, cybersecurity teams
CertificationsElastic Certified Engineer, related certificationsNone specific, often self-taught or on-the-job
Industry UsageMonitoring, data visualization, search solutionsSecurity analysis, incident response, troubleshooting

Elastic Stack Elk professionals focus on deploying and managing the Elastic Stack for data search, visualization, and monitoring. Log Analysts interpret log data to identify issues and security threats. While both roles work with log data, Elastic Stack Elk specialists build and maintain the tools, whereas Log Analysts analyze logs for insights and troubleshooting.

What are the key skills and qualifications needed to thrive as an Elastic Stack (ELK) Engineer, and why are they important?

To thrive as an Elastic Stack (ELK) Engineer, you need strong expertise in Elasticsearch, Logstash, Kibana, and data pipeline design, often backed by a degree in computer science or a related field. Familiarity with tools like Beats, scripting languages (such as Python or Bash), and relevant Elastic certifications is highly valuable. Analytical thinking, problem-solving, and effective communication are crucial soft skills for diagnosing issues and collaborating with cross-functional teams. These skills ensure efficient log management, insightful data visualization, and reliable system performance in environments dependent on real-time data analysis.

What are common challenges faced by professionals working with the Elastic Stack (ELK), and how can they be addressed?

One common challenge for Elastic Stack (ELK) professionals is optimizing performance as data volumes grow, which often requires tuning indices, shards, and cluster configurations. Another frequent hurdle is ensuring data security and managing access controls, especially in multi-user environments. Collaboration with DevOps, security, and development teams is essential for integrating ELK into broader monitoring or analytics pipelines. Staying current with updates and best practices helps address these challenges and ensures smooth operation of the stack.

What is an Elastic Stack (ELK) Engineer?

An Elastic Stack (ELK) Engineer is a professional who specializes in deploying, configuring, and maintaining the Elastic Stack, which includes Elasticsearch, Logstash, and Kibana. These engineers help organizations collect, process, and analyze large volumes of data in real time for purposes like search, logging, and visualization. They are responsible for ensuring data flows smoothly through the stack, optimizing performance, and implementing security best practices. Additionally, they often support troubleshooting and integration with other systems to provide end-to-end data solutions.
Infographic showing various Elastic Stack Elk job openings in the United States as of May 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.
Software Developer

Software Developer

Leidos

Odenton, MD • On-site

Full-time

Posted 2 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 425 rated business services


Job description

The Leidos Digital Modernization Group is seeking a Software Developer to support the Global Solutions Management - Operations II (GSM-O II) contract as part of the Global Automations & Intelligent Network Solutions (GAINS) Team. This position offers the opportunity to work in a fast-paced, mission-focused environment supporting large-scale enterprise monitoring, data integration, and automation initiatives across distributed infrastructure environments.

The selected candidate will serve as a hands-on developer focused on building, integrating, troubleshooting, and sustaining enterprise monitoring and data pipeline solutions leveraging the Elastic Stack (ELK) and Confluent Kafka platforms. The role emphasizes software development, platform integration, operational monitoring, troubleshooting, automation, and performance optimization across complex network and cloud environments.

As a key Agile scrum team member, the candidate will collaborate closely with software developers, systems engineers, network engineers, operations personnel, and partner scrum teams to deliver scalable and resilient integration, monitoring, and observability solutions supporting enterprise operational users and mission requirements. The candidate will work across teams to coordinate dependencies, support integration efforts, and ensure successful delivery of shared capabilities within an Agile development environment. The role requires strong troubleshooting skills, operational awareness, and the ability to independently resolve complex software, infrastructure, and platform issues.

Primary Responsibilities:

  • Support implementation, integration, monitoring, and troubleshooting of the ElastiFlow NetObserv application to provide network flow visibility, telemetry analytics, and operational monitoring across enterprise and cloud network environments.
  • Apply Site Reliability Engineering (SRE) practices to improve observability, monitoring automation, incident response, platform reliability, and operational support for Elastic-based services and enterprise network monitoring platforms.
  • Support modernization and sustainment of a multi-vendor enterprise network infrastructure, including network monitoring, performance management, security management, and authentication solutions migrating into AWS cloud environments.
  • Design, develop, and maintain scalable software and automation solutions supporting enterprise network operations, monitoring, and analytics capabilities.
  • Analyze operational, functional, and performance requirements to support system design, testing, integration, and deployment activities.
  • Collaborate with systems engineers, architects, and development teams to ensure deployments align with approved designs, security requirements, and operational objectives.
  • Develop, test, and deploy software applications, APIs, and automation tools using Python, JavaScript, Java, SQL, and related technologies.
  • Monitor, troubleshoot, and maintain Kafka and Elastic clusters across development, test, and production environments.
  • Build and maintain CI/CD pipelines using Jenkins, Bitbucket, Docker, Kubernetes, Artifactory, and Ansible.
  • Support system integration, deployment validation, troubleshooting, and operational sustainment activities across distributed environments.
  • Participate in Agile development activities including sprint planning, daily standups, demonstrations, retrospectives, and backlog refinement.
  • Troubleshoot and resolve software, infrastructure, network, and system integration issues.
  • Independently identify, communicate, and mitigate technical risks and implementation challenges.
  • Collaborate effectively with geographically distributed teams, stakeholders, and mission partners to support successful delivery of project objectives.


Basic Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field with 4+ years of relevant experience; additional experience may be considered in lieu of degree.
  • Experience supporting enterprise network infrastructure environments, including network monitoring, authentication, security, and operational support technologies.
  • Experience developing software applications and automation solutions using Python and at least one additional language such as JavaScript, Java, or SQL.
  • Experience with Elastic Stack technologies (Elasticsearch, Logstash, Kibana), Kafka platforms, and observability or monitoring solutions.
  • Experience building and supporting CI/CD pipelines and DevSecOps toolchains using Jenkins, Docker, Kubernetes, Ansible, Bitbucket, and Artifactory.
  • Experience troubleshooting Linux-based systems, distributed applications, and enterprise platform integrations.
  • Experience working in Agile software development environments and collaborating within cross-functional technical teams.
  • Experience creating and maintaining technical documentation for software deployments, operational procedures, infrastructure integrations, and DevSecOps processes.
  • Strong analytical, troubleshooting, communication, and collaboration skills.
  • Ability to obtain an interim Secret DoD Security clearance prior to start date.
  • Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of start date.

Preferred Qualifications:

  • Experience supporting AWS cloud-based infrastructure, services and security policies
  • Experience with network automation and enterprise monitoring platforms.
  • Experience supporting secure government or DoD environments.
  • Familiarity with Infrastructure as Code (IaC), SaaS and cloud-native architectures.
  • Strong understanding of Agile methodologies, including Scrum and SAFe.
  • Experience developing and deploying software in a DoD environment (DISA experience is a plus), including experience building and deploying software applications that meet DoD security standards, including updating applications and code to meet security scans and meeting security implementation guidelines (e.g. STIGs).

This role offers the opportunity to work on advanced integration projects, combining software engineering with data integration in a dynamic environment. If you meet the qualifications and are passionate about integration engineering, we encourage you to apply.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:June 4, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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