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How much do elasticsearch remote jobs pay per year?

As of Aug 23, 2026, the average yearly pay for elasticsearch remote in Arizona is $118,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $133,700.00 per year, depending on experience, location, and employer.

What is an Elasticsearch remote?

An Elasticsearch Remote job is a position where professionals work with Elasticsearch, a powerful search and analytics engine, from a remote location. These roles typically involve tasks such as optimizing search performance, managing Elasticsearch clusters, and integrating Elasticsearch with various applications. Remote Elasticsearch professionals can work as developers, engineers, or administrators, ensuring efficient indexing, querying, and data management. Companies hire remote Elasticsearch experts to maintain and scale their search infrastructure without requiring on-site presence. This type of job offers flexibility while allowing specialists to contribute to large-scale data and search projects.

What does an Elasticsearch remote do?

As a remote Elasticsearch specialist, your daily tasks often include configuring and managing Elasticsearch clusters, monitoring performance, optimizing queries, and troubleshooting data issues. You will also work with development and DevOps teams to implement new features and ensure the reliability and scalability of search infrastructure. Regular collaboration via chat, video meetings, and project management tools is common, and you may participate in peer code reviews and knowledge-sharing sessions. Staying up to date with the latest Elasticsearch developments and documenting best practices are also important aspects of the role.

What are the key skills and qualifications needed for an Elasticsearch remote?

To thrive as an Elasticsearch Remote professional, you need strong experience with Elasticsearch, data indexing, distributed systems, and query optimization, typically supported by a background in computer science or a related field. Familiarity with tools such as Kibana, Logstash, Beats, as well as cloud platforms (AWS, GCP, or Azure), and relevant certifications like Elastic Certified Engineer are often required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial for success in a distributed work environment. These competencies ensure that you can build, maintain, and improve scalable search solutions while collaborating efficiently across remote teams.

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Elasticsearch Remote jobs near you

Elastic Security Engineer (SIEM) - Active TS Clearance

Serviss

Sierra Vista, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Job description

Elastic Security Engineer (SIEM)
Location: Sierra Vista, AZ / Remote
Employment Type: Full-TimeAbout SERVISS
At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and commercial clients, with a mission to secure systems, data, and critical infrastructure through innovation and expertise. We don't just deploy tools; we engineer mission platforms that become foundational systems of record for cyber operations, compliance automation, and national cyber readiness. From CISA CDM to DoW mission enclaves, our work shapes how government sees, governs, and defends its digital terrain.
As a provider of managed cybersecurity services, SERVISS delivers a highly tailored offering to each customer. Our mission is broad and our teams are agile; we look to your unique skills to approach and solve problems in your own way, whether engineering a system to clear a technical hurdle, protecting customer data, or consulting across a wide range of security topics. You are empowered to engage and lead across multiple groups.
Position Summary
SERVISS is seeking an Elastic Security Engineer to support a Federal DoD SIEM program. This is a technical, hands-on role in which you will work within a multi-disciplined team to design, build, secure, maintain, optimize, and document multiple Elastic Stack enterprise solutions (Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and SIEM) deployed globally in a Federal DoD environment, with automation support using Ansible.
You will perform continuous data-normalization functions and support the delivery of written technical deliverables such as SOPs and process workflows to optimize tool usage and contribute to new capabilities. Your infrastructure, data pipelines, and reporting automation will directly support internal engineering personnel and external customer requirements.
The Work
This is a hands-on engineering role. The selected candidate will:
  • Design, build, secure, maintain, optimize, and document multiple Elastic Stack enterprise solutions (Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and SIEM) deployed globally in a Federal DoD environment
  • Automate deployment and configuration using Ansible playbooks
  • Perform continuous data-normalization functions across diverse data sources
  • Build data pipelines and reporting automation that directly support internal engineering personnel and external customer requirements
  • Author written technical deliverables such as SOPs and process workflows to optimize tool usage and contribute to new capabilities
Key Responsibilities
  • Support a Federal DoD SIEM program as part of a multi-disciplined engineering team
  • Maintain, optimize, and secure enterprise Elastic Stack solutions deployed globally
  • Contribute to new capabilities and the continuous improvement of tool usage
  • Engage and collaborate across engineering teams and customer stakeholders
Required Qualifications
  • Active Top Secret security clearance
  • US citizenship
  • Compliance with DoD 8140 / 8570 IAT Level II certification prior to start date
  • At least 4 years of hands-on experience in deployment, configuration, and solution development using the Elastic Stack for security and logging use cases (Elastic SIEM experience a plus)
  • Demonstrated experience with the full Elastic Stack: Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration
  • Demonstrated ability to use Ansible playbooks

Preferred Qualifications
  • Experience integrating Elasticsearch with external systems (e.g., SOAR tools, threat intelligence platforms)
  • Experience with data management: hot/warm/cold architectures, shard allocation and re-allocation, snapshots and restoration
  • Strong experience evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration
  • Experience integrating Elasticsearch with authentication mechanisms such as SAML, LDAP, and PKI
  • Experience supporting the Elastic Stack in on-prem and SaaS environments, including system monitoring and tuning
  • Experience securing the Elastic Stack and hardening hosting environments
  • Development experience in multiple languages (Python, Bash, PowerShell, Painless, etc.)
  • Experience designing and implementing highly scalable Elastic Stack solutions
  • Experience developing data structures and data mappings from various sources to achieve data normalization using Elastic Common Schema (ECS)
  • Experience developing Logstash and/or ingest pipelines
  • Experience developing custom Kibana visualizations and dashboards
  • Experience developing custom reporting solutions using APIs that leverage Elasticsearch and ElastiCache
  • Experience with end-to-end low-level design, development, administration, and delivery of Elasticsearch-based reporting solutions
  • Strong technical foundation in building reliable, scalable, and supportable systems
  • Experience with Red Hat Enterprise Linux deployment and administration
Freedom to Thrive.
Why Join SERVISS? Our goal as an employer is simple yet profound: to create an environment where you can be your best self, pursue your passions, and enjoy the freedom to thrive both personally and professionally. Your success is our success, and we're committed to supporting you every step of the way.
  • Highly competitive compensation and best in class benefits
  • 100% of medical, vision, dental, and life insurance premiums paid for by SERVISS
  • Be part of an exciting company with ground floor opportunities in the Equity Participation Program
  • Opportunities for annual performance bonuses and growth incentives
  • 401(k) retirement plan with 6% dollar for dollar match
Additional Considerations for HUBZone applicants:
Preference may be given to applicants residing in a federal HUBZone in support of SERVISS LLC's HUBZone workforce objectives; all qualified candidates are encouraged to apply.
How to Determine HUBZone Residency:
Candidates can verify HUBZone eligibility by entering their home address into the SBA HUBZone Map at https://maps.certify.sba.gov/hubzone/map. If your residence falls within a designated HUBZone area on the map, you are considered a HUBZone resident for hiring preference purposes.

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