278 Elasticsearch jobs available for remote work from home. Apply for positions such as Lead DevOps Engineer, AI Engineer, Elastic Security Engineer (SIEM) - Active TS Clearance, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Lead DevOps Engineer will architect, deploy, and manage highly available cloud infrastructure on GCP while maintaining robust CI/CD pipelines. They will also enforce strict security, compliance, and observability standards across the production environment.
You will apply generative AI to threat research and fraud detection, including building a Gen AI stack in the cloud. You will also collaborate with other tech teams to develop and integrate AI-powered features into DataDome products.
The Elastic Security Engineer will design, build, and maintain enterprise Elastic Stack solutions within a Federal DoD environment. They will also automate deployments using Ansible and perform continuous data normalization to support cyber operations.
Lead and grow a team of full-stack engineers while owning the delivery and technical direction for the Monetisation domain. Partner with product leadership to shape priorities across value-added services, payments, and escrow systems.
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Develop complex AI solutions, including chatbots and LLM-based applications using RAG, for international clients. Design and implement these systems in both cloud and on-premise environments while collaborating with global teams.
The role involves configuring and optimizing AWS and GCP cloud infrastructure, including monitoring, budgeting, and disaster recovery. The administrator will also manage the release process and maintain continuous integration environments to improve system health.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI usage across the organization.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI usage across the organization.
Drive the adoption of AI-assisted development by coaching engineers and establishing best practices across the organization. Build internal AI integrations and tooling while tracking productivity metrics to measure the impact of AI enablement.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI workflows.
Drive the adoption of AI-assisted development across engineering and GTM teams through coaching, best-practice propagation, and the creation of internal AI tooling. Measure productivity gains using data-backed metrics and maintain a network of AI champions to scale enablement.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks across the engineering organization.
Drive the adoption of AI-assisted development by coaching engineers and establishing best practices across the organization. Build internal AI integrations and tooling while tracking productivity gains through data-backed metrics.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI usage across the organization.
Lead the Enterprise Solution Architecture organization to drive technical presales excellence and overachieve revenue targets. Partner with sales and product teams to influence strategic direction and ensure customer value realization.
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Build and maintain data ingestion pipelines that pull cyber-intelligence data from API sources into Elasticsearch. Monitor pipeline health, develop Kibana dashboards, and document operational runbooks to support a unified cyber terrain view.
Contribute to the architecture and design of Elasticsearch's core security features, including authentication, authorization, and tenant isolation. Focus on optimizing security performance at scale and collaborating with InfoSec to remediate vulnerabilities using AI-driven tools.
Contribute to the architecture and design of Elasticsearch's core security features, including authentication, authorization, and tenant isolation. Focus on optimizing security performance at scale and collaborating with InfoSec to manage vulnerabilities using AI-driven tools.
Lead the architecture and design of core security features for Elasticsearch, including authentication, authorization, and tenant isolation. Drive vulnerability management and optimize security performance within a distributed data store environment.
Lead the architecture and design of core security features for Elasticsearch, including authentication, authorization, and tenant isolation. Drive vulnerability management and mentor other engineers to foster a security-first development culture.
Design and implement autonomous agentic workflows and enterprise-grounded agents using the Elastic Stack to automate complex business tasks. Manage the full lifecycle of these agents, including cloud infrastructure provisioning via Terraform and establishing DevOps CI/CD pipelines.
Design, build, and scale production-grade generative and agentic AI solutions to drive business impact. Lead model development and deployment across cloud platforms while mentoring a high-performing data science team.
Own the end-to-end architecture and technical direction of a high-scale B2B payments platform. Lead the design of resilient distributed systems while mentoring senior engineers and establishing engineering best practices.
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Own and drive the architecture and reliability of core platform areas such as observability or CI/CD end-to-end. Support developers with deployment, monitoring, and incident resolution while automating repetitive operational tasks.
Own and drive the architecture and reliability of core platform areas such as observability and CI/CD end-to-end. Support developers with deployment, monitoring, and incident resolution while automating repetitive operational tasks.
Own and drive the architecture and reliability of core platform areas such as observability or CI/CD end-to-end. Support developers with deployment, monitoring, and incident resolution while automating repetitive operational tasks.
Own and drive the architecture and reliability of core platform areas such as observability or CI/CD end-to-end. Support developers with deployment, monitoring, and incident resolution while mentoring junior engineers.
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