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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Splunk ES Engineer - **Company:** OpenKyber LLC - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $190,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Microsoft Azure, Bash Shell, Cloud Computing, Apache Lucene, Continuous Integration, Linux, DevOps, Distributed Systems, Elasticsearch, Python (Programming Language), OpenShift, Windows PowerShell, Red Hat Enterprise Linux, Reliability Engineering, Logstash, Ansible, Runbook, Security Information and Event Management, Apache Solr, Systems Integration, Datadog, Data Logging, Data Processing, Google Cloud, Cloud Platform System, Data Ingestion, SC Clearance, Containerization, Kubernetes, Hashicorp, Kibana, Terraform, Splunk, Serverless Computing, OpenSearch, Docker - **Published:** October 9, 2026 - **Apply:** https://www.careerjet.com/jobad/use67c251fa12197ef735cce062d38e608 ## About the Role * Splunk migration. New install: cluster install, possibly using Cribl, ECK * Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet). * Strong scripting and automation skills (Python, PowerShell, Bash, etc.). * Solid understanding of observability, logging, metrics, and distributed systems. * Experience designing, deploying, and optimizing production-scale Elastic environments. * Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, Google Cloud Platform). * Ability to mentor, guide, and influence engineering teams on Elastic best practices. * Outstanding verbal and written communication skills. * Willingness and ability to support domestic or international on-site engagements. * U.S. Passport required. Must have a Secret Clearance, at minimum. Desired Skills * Familiarity with SIEM concepts, Elastic Security, or other SIEM/EDR platforms. * Experience with containerization and orchestration (Kubernetes, Docker, OpenShift). * Experience with automation/orchestration tools (Terraform, Ansible, CI/CD pipelines). * Familiarity integrating Elastic with endpoint telemetry or cloud-native tools. * Certifications (preferred): Elastic Certified Engineer, Elastic Security Engineer, Elastic Observability Engineer AWS Certified Solutions Architect or equivalent Docker Certified Associate (DCA) Certified Kubernetes Administrator (CKA) HashiCorp Certified: Terraform Associate Red Hat Certified Specialist in Ansible Automation * Prior experience in DevOps, Site Reliability Engineering, or cloud platform roles is a plus. * Experience designing dashboards, observability frameworks, and large-scale workflows. * Experience with the below: Platforms: On-premises, Public Cloud (AWS, Azure, Google Cloud Platform), GovCloud, hybrid deployments Containerization: Kubernetes, Docker, OpenShift Automation: Terraform, Ansible, CI/CD pipelines, Docker Integrations: SIEMs (Splunk, Elastic Security), endpoint/security telemetry (CrowdStrike), cloud-native services Competing Technologies: Splunk, OpenSearch, Solr, Lucene, Graylog, Datadog, Elastic Cloud alternatives. For applications and inquiries, contact:hirings@openkyber.com ## Description bay area including City and County of San Francisco, San Mateo County, and Santa Clara County. We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market. If you are a partner company, please submit resumes with contact information of your own W2 Consultants only . Submitted consultants are expected to have excellent communication skills. Sr. Elastic Engineer Scott AFB, Illinois, United States Secret Clearance $190,000 - $230,000 Job Description Client is seeking a Sr. Elastic Engineer to work in our Scott AFB, IL office. We are seeking a Sr. Elastic Engineer to join our Professional team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows. Key Responsibilities: * Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. * Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows. * Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring. * Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, Google Cloud Platform), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift). * Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks. * Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources. * Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability. * Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams. * Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices. * Stay current with Elastic features, certifications, and emerging platform capabilities.