Elasticsearch Engineer

ABSC is seeking an Elasticsearch Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DIA-NMEC DOMEX Data Discovery Platform (D3P). Under this multi-Task Order 10-year contract, we support DOMEX Data Discovery Platform (D3P) Modernization program as well as NMEC’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. 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. If you are ready to join ABSC in enabling DIA’s NMEC to provide critical and unique capabilities to the Intelligence Community, apply today!

As an integral member of the team, you will work closely with other infrastructure, network engineers, and system engineers on the following key tasks:

• →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.

You demonstrate clear devotion to the DevOps and Infrastructure as Code (IaC) mindset and meet the following qualifications:

• Bachelor’s Degree and 8+ years of proven experience as an Engineer, 3-5 years experience as an Elasticsearch Engineer, or Master’s with 1-2 years of proven experience as an Elasticsearch Engineer. Years' of experience will be considered in lieu of a degree.
• Must possess an Active TS/SCI clearance and ability to obtain 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

• 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 an air-gapped environments
• Experience working in large computing environments (> 1,000 end-points)
• Experience maintaining AI/ML environments (NVIDIA hardware and software)
• Experience maintaining large data (Petabyte) environments and storage solutions
• Experience with advanced Linux network hardware (eg: Mellanox Network Cards)