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A&M Technologies Inc. is seeking a skilled Elasticsearch and Observability Engineer to join our dynamic team within our partner's Managed Security Service Provider (MSSP). The ideal candidate will have extensive experience in designing, implementing, and managing Elasticsearch environments and a deep understanding of observability and monitoring solutions. This role involves working closely with cross-functional teams to ensure high-performance and scalable search capabilities, along with robust observability and monitoring systems.
Responsibilities:
Design, implement, and manage Elasticsearch clusters
Optimize search query performance and indexing strategies
Ensure data integrity and security in Elasticsearch environments
Monitor Elasticsearch health and performance, addressing issues proactively
Develop and maintain observability frameworks using tools like Kibana, Grafana, or similar
Implement logging, metrics, and tracing systems for real-time monitoring of applications
Analyze and visualize complex datasets to identify trends and anomalies
Work with cross-functional teams to define observability and search requirements
Provide technical guidance and support to team members
Keep up to date with emerging trends and technologies in search and observability
Document architectures, procedures, and processes
Prepare reports on system performance, issues, and resolutions
Required Skills
Outstanding verbal and written communication abilities
Able and willing to support domestic or international on-site travel with customers or at partner's offices. Any travel will be short in duration and well-planned
Possess and maintain a U.S. Passport
Must have a Top Secret clearance, at minimum
Desired Skills
Experience with other search technologies (e.g., Solr, Lucene)
Experience in a DevOps or Site Reliability Engineering role
At least three years of experience demonstrating proficiency in the following skills:
Elasticsearch and observability tools
SIEM concepts and platforms such as Elastic, Splunk, IBM QRadar, or LogRhythm, including the ability to design, implement, and optimize complex SIEM solutions
Strong knowledge of Linux/Unix systems, networking, and cloud services
Comprehensive knowledge of the cybersecurity field, including advanced threat landscapes, sophisticated security protocols, and a wide array of cyberattack methodologies
Proficiency in scripting languages like Python, PowerShell, or Bash
Experience with other search technologies (e.g., Solr, Lucene)