Sr. Elastic Engineer at ECS Federal Norfolk, VA

Sunseeker Property Service

Norfolk (VA)

Vor Ort

USD 180.000 - 205.000

Vollzeit

vor 32 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Everforth ECS in Norfolk, VA is seeking a Sr. Elastic Engineer to design, deploy, and optimize large-scale Elastic Stack environments. The role involves building ingestion pipelines, dashboards, and automation, with on-premises, cloud (AWS/Azure/GCP), GovCloud, and containerized deployments.

Collaboration with cross-functional teams ensures reliability and performance. The ideal candidate will script extensively, integrate Elastic with SIEMs, and lead design reviews while maintaining

Qualifikationen

  • Hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
  • Strong scripting skills (Python, PowerShell, Bash).
  • Experience with production-scale Elastic environments.
  • Linux/Unix, networking, and cloud knowledge (AWS/Azure/GCP).

Aufgaben

  • Design, deploy, and maintain Elastic Stack environments.
  • Build ingestion pipelines, dashboards, and queries.
  • Write automation scripts to streamline operations.
  • Deploy Elastic across on-prem, cloud, and container platforms.
  • Integrate Elastic with SIEMs and telemetry sources.
  • Monitor health, troubleshoot, and optimize reliability.
  • Lead design reviews and share Elastic best practices.
  • Maintain deployment runbooks and docs.
  • Stay current with Elastic features and certifications.

Kenntnisse

Elastic Stack
Scripting
Observability
Cloud platforms
Mentoring
Communication
On-site readiness

Tools

Terraform
Ansible
CI/CD pipelines
Docker
Kubernetes

Jobbeschreibung

Job DescriptionEverforth ECS is seeking a Sr. Elastic Engineer to join our team in Norfolk, VA. This position is continent upon contract award.Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency.We are seeking a Sr. Elastic Engineerto join our Professional team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows.

Key Responsibilities
  • Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
  • Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows.
  • Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring.
  • Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
  • Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks.
  • Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources.
  • Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability.
  • Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams.
  • Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices.
  • Stay current with Elastic features, certifications, and emerging platform capabilities.

Salary Range: $180,000 - $205,000

Job Requirements
  • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
  • Strong scripting and automation skills (Python, PowerShell, Bash, etc.).
  • Solid understanding of observability, logging, metrics, and distributed systems.
  • Experience designing, deploying, and optimizing production-scale Elastic environments.
  • Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GCP).
  • Ability to mentor, guide, and influence engineering teams on Elastic best practices.
  • Outstanding verbal and written communication skills.
  • Willingness and ability to support domestic or international on-site engagements.
  • U.S. Passport required.
  • Must have a TS/SCI Clearance, at minimum.
  • Must be eligible to obtain a U.S. Security Clearance.
Job Details
  • Job Type: Full-time
  • Category: Cybersecurity
  • Salaried: Salaried
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