Elasticsearch Associate Engineer at E&M Technologies, Inc.
, Virginia, United States -
Full Time


Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Elasticsearch, Logstash, Beats, Kibana, Agile, DevSecOps, CI/CD, Troubleshooting, Performance Tuning, Cluster Management, Identity Management, Credential Management, Access Management, Docker, Kubernetes, Problem Solving

Industry

IT Services and IT Consulting

Description
Description POSITION: Elasticsearch Associate Engineer WORK LOCATION: Chantilly, VA JOB CATEGORY: Information Technology JOB TYPE: Full Time REQUISITION ID: EM07-050 CITIZENSHIP: United States Citizen CLEARANCE TYPE: Top Secret/SCI W/CI POLY TRAVEL REQUIREMENTS: Yes, up to 10% E&M Technologies, Inc. is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. E&M provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. E&M Technologies, Inc. is currently seeking a(n) Elasticsearch Associate Engineer to join our team in Chantilly, VA in support of NGA. The NGA delivers world-class geospatial intelligence that provides a decisive advantage to policymakers, military service members, intelligence professionals, and first responder. Job Responsibilities: Assist in designing, developing, and deploying log analytics and infrastructure monitoring solutions using the Elastic stack (Elasticsearch, Logstash, Beats, and Kibana) to support an existing identity, credential, and access management (ICAM) system. Help deploy, configure, test, troubleshoot, maintain, and upgrade Elastic clusters and environments under the guidance of senior team members. Support the optimization of Elasticsearch infrastructure and configuration to maintain cluster health and search performance. Interface with other developers to integrate Elastic stack with existing ICAM baseline Help resolve installation, infrastructure, data flow, and log ingest issues in both development and production environments. Perform daily administration tasks for Elasticsearch clusters and environments. Participate in an Agile environment by estimating features and user stories and contributing to sprint planning. Assist in the implementation of DevSecOps practices with automated CI/CD pipelines. Requirements Minimum Qualifications: Bachelor's degree in related discipline plus 2-4 years of prior relevant experience or master’s with less than 2 years of prior relevant experience (Relevant Experience must be ass a software developer, integrator, administrator, or similar technical role) Must be DoD-8570/8140 level 2 compliant Familiarity with deploying and managing Elasticsearch clusters and Kibana. Understanding of basic troubleshooting, performance tuning, and cluster health management for Elasticsearch environments. Ability to work well in a collaborative team setting and receive guidance from senior engineers. Familiarity with Agile tools such as Jira and Confluence. Strong problem-solving skills and a willingness to learn and grow within the field. Must be a U.S. Citizen. Must have or be capable of obtaining a U.S. Department of Defense (DoD) security clearance at the required level. Preferred Qualifications: Elastic Certified Engineer Experience with container orchestration technologies like Docker and Kubernetes Exposure to working in a production environment with uptime and availability requirements. Basic understanding or exposure to identity, credential, and access management (ICAM) technologies. To Apply for this Position: You must have the Minimum Qualifications in your resume to be selected as a candidate. The salary range provided is a good faith estimate representative of all experience levels. E&M considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.? E&M anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require E&M to shorten or extend the application window.? E&M is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. E&M provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Responsibilities
The Elasticsearch Associate Engineer will assist in designing, developing, and deploying log analytics and infrastructure monitoring solutions using the Elastic stack. They will also support the optimization of Elasticsearch infrastructure and perform daily administration tasks for Elasticsearch clusters.
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