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Elastic Engineer Jobs

101 Job Offers

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Data Scientist
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United States , McLean
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Leading Path Consulting
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Senior Data Scientist
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India , Bangalore
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Hewlett Packard Enterprise
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Solution Architect Specialist
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United Kingdom , Manchester
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Plusnet
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Senior Data Scientist (AI/ML)
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India , Bangalore
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Hewlett Packard Enterprise
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SIEM Engineer
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United Kingdom , Wokingham
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Whitehall Resources Ltd
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Data Engineer
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India , Hyderabad
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Randstad
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Sr Staff Data Engineer
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United States , Dallas; Scottsdale
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122219.00 - 189615.00 USD / Year
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Blue Yonder
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Senior Staff Software Engineer
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India , Hyderabad
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Teradata
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Network Specialist
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United Kingdom , London
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150000.00 GBP / Year
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Hunter Bond
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AWS Architect/Project Manager
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United States , Chicago
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EXCEL CONSULTANTS
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Systems Integration Engineer
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United States , Reston
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AnaVation
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Red Hat OpenStack Subject Matter Expert
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India , Bangalore
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Hewlett Packard Enterprise
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Federal Observability Engineer
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United States , HILL AFB
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105500.00 - 243000.00 USD / Year
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Hewlett Packard Enterprise
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Senior Kafka Platform Engineer
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Poland
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HSBC
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Senior Pricing Actuary
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United Kingdom , London
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80000.00 - 120000.00 GBP / Year
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Lawes Consulting Group
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Senior Backend Engineer
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United States
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153000.00 - 188000.00 USD / Year
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Corelight
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Lead Site Reliability Engineer
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United States
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184000.00 - 229000.00 USD / Year
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Corelight
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Lead Backend Engineer
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United States
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184000.00 - 229000.00 USD / Year
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Corelight
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Professional Services Engineer
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EMEA
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Corelight
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Java Fullstack Developer
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India , Pune; Chennai
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Citi
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Find and apply for Elastic Engineer jobs to launch a career at the intersection of data analytics, cybersecurity, and software engineering. An Elastic Engineer is a specialized IT professional responsible for designing, implementing, and managing the Elastic Stack (ELK Stack: Elasticsearch, Logstash, Kibana, and Beats) to solve complex data search, analysis, and visualization challenges. These experts are pivotal in transforming raw, often massive, datasets into actionable insights, enabling organizations to monitor systems, secure networks, and drive business intelligence. Professionals in these roles typically engage in a core set of responsibilities. They architect and deploy scalable Elasticsearch clusters, ensuring high availability, optimal performance, and data integrity. A significant part of their work involves developing data ingestion pipelines using Logstash and Beats to collect and normalize logs, metrics, and other data from diverse sources. They then create dynamic dashboards, visualizations, and alerts in Kibana for stakeholders across the business, from IT operations to security teams. For those exploring Elastic Engineer jobs in cybersecurity, a common focus is building and maintaining Security Information and Event Management (SIEM) solutions, hunting for threats, and supporting incident response through real-time log analysis. Beyond operations, they automate processes, perform cluster tuning and troubleshooting, and ensure the stack is secure, compliant, and efficiently integrated with other enterprise systems. Typical skills and requirements for these positions include deep, hands-on expertise with the Elastic Stack's components and their APIs. Strong proficiency in Linux system administration is fundamental. Candidates are often expected to have solid scripting or programming skills in languages like Python, Bash, or Java to automate tasks and develop custom plugins. A background in data structures, networking, and distributed systems is highly valuable. For many Elastic Engineer jobs, especially those supporting security or regulated industries, familiarity with cybersecurity principles and relevant certifications (like those related to cloud or security operations) can be essential. Soft skills such as problem-solving for complex technical issues, effective communication to translate technical findings, and the ability to work collaboratively in DevOps or Agile environments are consistently in demand. Whether supporting observability, enterprise search, or security analytics, Elastic Engineer jobs offer a dynamic career path for those passionate about leveraging powerful open-source technologies to make data accessible and meaningful. This profession is ideal for individuals who enjoy continuous learning, as the stack evolves rapidly, presenting constant opportunities for innovation and impact across various industry verticals.

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