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Elasticsearch Engineer Jobs (NOW HIRING)

I have an opportunity for "ElasticSearch Engineer" _ REMOTE " and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could ...

Leidos has an exciting opportunity for a Principal Elasticsearch Systems Engineer in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

Leidos has an exciting opportunity for a Elasticsearch Systems Engineer (SME) in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health and optimal search performance. * Integration: Collaborate with developers to integrate the Elastic ...

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health and optimal search performance. * Integration: Collaborate with developers to integrate the Elastic ...

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Elasticsearch Engineer information

What is an Elasticsearch Engineer job?

An Elasticsearch Engineer is responsible for designing, implementing, and managing search and analytics solutions using Elasticsearch. They optimize search performance, ensure data indexing efficiency, and maintain cluster health and scalability. Additionally, they integrate Elasticsearch with various applications, troubleshoot issues, and enhance system security. Their role often involves working with data processing pipelines, query optimization, and infrastructure management.

What are the key skills and qualifications needed to thrive in the Elasticsearch Engineer position, and why are they important?

To thrive as an Elasticsearch Engineer, you need strong programming skills (particularly in Java, Python, or similar languages), in-depth knowledge of search algorithms and data indexing, and experience managing distributed systems. Familiarity with Elasticsearch, Kibana, Logstash (the ELK stack), cloud infrastructure (such as AWS or GCP), and relevant certifications like Elastic Certified Engineer are often required. Analytical problem-solving, attention to detail, and effective communication are key soft skills for success in this role. These abilities are crucial to design, implement, and optimize robust search solutions that efficiently meet business and user needs.

What does a typical day look like for an Elasticsearch Engineer?

A typical day for an Elasticsearch Engineer often involves designing and optimizing search architectures, developing custom queries or plugins, and ensuring the performance, security, and reliability of Elasticsearch clusters. You'll regularly collaborate with development teams to integrate Elasticsearch with various applications and may also monitor metrics, troubleshoot issues, and make improvements based on system usage data. Participation in code reviews and technical discussions is common, along with continuous learning to stay updated on new features and best practices. This hands-on and collaborative work environment helps ensure that large amounts of data are searchable and accessible to both technical and non-technical stakeholders.

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Infographic showing various Elasticsearch Engineer job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 77% Full Time, 1% Part Time, 4% Contract, and 14% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Elasticsearch Engineer (TS/SCI Clearance) with Security Clearance

Elasticsearch Engineer (TS/SCI Clearance) with Security Clearance

ShorePoint, Inc

Herndon, VA โ€ข On-site

Other

Medical, Retirement, PTO

Posted 19 days ago


Job description

Who we are: ShorePoint is a fast-growing, industry recognized and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data. ShorePoint subscribes to a "work hard, play hard" mentality and celebrates individual and company successes. We are passionate about our mission and going above and beyond to deliver for our customers. We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion and a focus on giving back to our community. The Perks: As recognized members of the Cyber Elite, we work together in partnership to defend our nation's critical infrastructure while building meaningful and exciting career development opportunities in a culture tailored to the individuals technical and professional growth. We are committed to the belief that our team members do their best work when they are happy and well cared for. In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers. Highlighted benefits offered: 144 hours of PTO, 11 holidays, 85% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement and more. Who we're looking for: We are seeking an Elasticsearch Engineer (TS/SCI Clearance) with expertise in designing, deploying and optimizing Elastic Stack solutions in federal environments. This role supports the delivery of Elastic-based solutions across cloud, on-prem and hybrid infrastructures to enable security operations and data-driven outcomes. The Elasticsearch Engineer will lead technical implementations, support migrations and contribute to scalable architectures while engaging directly with client stakeholders. This is a unique opportunity to shape the growth, development and culture of an exciting and fast-growing company in the cybersecurity market. What you'll be doing: * Architect, deploy and tune Elastic Stack solutions (Elastic Cloud Enterprise (ECE), Elastic Cloud on Kubernetes (ECK), Elastic Cloud) across cloud, on-prem and hybrid environments. * Execute legacy security platform migrations, including detection translation (e.g., Search Processing Language (SPL) โ†’ (ES|QL) Elasticsearch Query Language) and analyst workflow modernization. * Design and implement data ingestion pipelines using Elastic Agent, Fleet, Logstash and Beats. * Harden deployments for federal compliance, including Transport Layer Security (TLS), Personal Identity Verification/Common Access Card (PIV/CAC), Single Sign-On (SSO) / Security Assertion Markup Language (SSO/SAML), Security Technical Implementation Guide (STIG) and audit logging. * Build outcome-driven dashboards and advanced Kibana visualizations. * Develop automation using Infrastructure-as-Code (IaC) tools (Ansible, Terraform or equivalent). * Communicate technical decisions and trade-offs directly to client stakeholders. * Contribute to internal IP, including reusable templates, automation and reference architectures. What you need to know: * Deep understanding of Elastic Stack capabilities and use cases across deployment, security and operations. * Knowledge of distributed cluster architecture at scale, including multi-tenant and CCS environments . Must have's: * 6+ years in systems engineering or infrastructure, including 2+ years of production Elastic Stack experience. * Proven ability to analyze complex requirements and translate them into clear, actionable tasks and processes through critical thinking. * Strong problem-solving skills and a self-starter mentality. * Solid written and verbal communication skills. * Linux Command-Line Interface (CLI) fundamentals and basic networking knowledge. * Hands-on experience with containerization and IaC tooling. * Proficiency with at least one major cloud provider. * Experience with federal security controls (TLS, SSO/SAML, PIV/CAC, STIG). * Proven track record leading engagements from scoping through delivery. * Deep knowledge of distributed cluster architecture at scale, including multi-tenant and CCS environments. * Ability to drive client relationships and identify expansion opportunities. * Applicants must currently hold and maintain an active TS/SCI Clearance (Full Scope polygraph preferred). Beneficial to have: * Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering or a related field. * Elastic certifications (ECE or being on a defined certification track). * Elastic Security (SIEM, detection engineering, threat hunting and legacy migration). * Detection translation experience (SPL โ†’ ES|QL or equivalent). * Scripting proficiency (Python, Bash or PowerShell). * Exposure to AI-augmented search, RAG or semantic search use cases. * Prior professional services or consulting experience. Where it's done: * Onsite (Herndon, VA).