Senior Elastic Engineer
Our Client is seeking a Senior Elasticsearch Engineer supporting DIA-NMEC under our 10-year DOMEX Technology Platform (DTP) contract. We are seeking a highly skilled and experienced Senior Elasticsearch Engineer to join our dynamic team. As a Senior Elasticsearch Engineer, you will play a pivotal role in designing, implementing, and optimizing our Elasticsearch infrastructure to support our growing data and search needs. You will collaborate with cross-functional teams to ensure the reliability, performance, and scalability of our Elasticsearch clusters. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule, and occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.
Job Responsibilities:
- Design, implement, and manage Elasticsearch clusters to support large-scale data indexing and search operations.
- Optimize Elasticsearch performance by fine-tuning configurations, query optimizations, and cluster scaling.
- Monitor Elasticsearch clusters for health, performance, and security, and implement proactive measures to ensure system stability.
- Collaborate with software development and DevOps teams to integrate Elasticsearch into our applications and workflows.
- Troubleshoot and resolve complex Elasticsearch-related issues, ensuring minimal downtime and data loss.
- Implement security best practices for Elasticsearch, including access controls, authentication, and encryption.
- Stay up-to-date with Elasticsearch and ELK Stack (Elasticsearch, Logstash, Kibana) developments and recommend upgrades or enhancements.
- Mentor and provide guidance to junior team members, sharing knowledge and best practices.
- Document configurations, procedures, and best practices for Elasticsearch administration.
Required Skills:
- Bachelor’s Degree and 8+ years of proven experience as an Elasticsearch Engineer or master’s with 1-2 years of proven experience as an Elasticsearch Engineer.
- Must possess an Active Top-Secret clearance and ability to obtain TS/SCI with CI Poly.
- Experience in system integrations testing through a full system development life cycle, including implementing test plans, test cases, and test processes.
- Strong expertise in Elasticsearch cluster design, performance tuning, and optimization.
- Proficiency in Elasticsearch query DSL and search query optimization.
- Experience with Logstash, Kibana, Metricbeats, and Filebeats is a plus.
- Knowledge of Elasticsearch security practices, including role-based access control and SSL/TLS.
- Scripting and automation skills with tools like Python, Bash, or Ansible.
- Familiarity with cloud platforms like AWS.
- Working in an Agile project management environment.
- Experience documenting test results for corrective actions, reporting, and audits.
- Strong verbal and written communication skills.
- Enthusiastic with the ability to work well on a team and a self-starter who can work on their own.
Desired Skills:
- Knowledge of Atlassian software such as JIRA, JIRA Service Desk, and Confluence.
- Experience with data engineering tools such as Kubernetes/Rancher, Cloudera.
- Experience with scripting languages, CI/CD tools, like Jenkins or Gitlab.
- Experience working in air-gapped environments.
- Experience working in large computing environments (> 1,000 endpoints).
- Experience maintaining AI/ML environments (NVIDIA hardware and software).
- Experience maintaining large data (Petabyte) environments and storage solutions.
- Experience with advanced Linux network hardware (e.g., Mellanox Network Cards).
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