AWS Cloud Elastic Observability Engineer

ECS Corporate Services

Fairfax (VA)

In loco

USD 140.000 - 165.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Everforth ECS is seeking an AWS Cloud Elastic Observability Engineer to deploy and support AWS cloud environments for coalition enclaves in the DoD community. This role is hands-on, focused on automation, writing infrastructure code, and improving deployment pipelines.

You will deploy and maintain the Elastic Observability stack using Docker and Kubernetes, build dashboards, and ensure reliable data ingestion and monitoring across distributed systems, with onsite work in Fairfax, VA.

Competenze

  • Bachelor's degree and 5+ years of related experience.
  • U.S. Citizen.
  • Active Secret clearance.
  • DoD 8140 IAT Level II Security+ (or higher).

Mansioni

  • Deploy, configure, and maintain Elastic Observability components (Elastic Agent, Beats, Logstash, Kibana, APM).
  • Build and manage containerized Elastic environments using Docker (including Compose and containerized pipelines).
  • Deploy and operate Elastic components in Kubernetes (ECK, Helm, operators, or custom manifests).
  • Maintain and optimize pipelines for logs, metrics, and traces across distributed systems.
  • Develop dashboards, alerting rules, and visualizations in Kibana or other observability tools.

Conoscenze

5+ years experience
AWS Cloud
Elastic Observability

Formazione

Bachelor's degree

Strumenti

Docker
Ansible
Kubernetes
Helm
ECK

Descrizione del lavoro

Everforth ECS is seeking a AWS Cloud Elastic Observability Engineer to deploy and support AWS cloud environments for multiple coalition Mission Partner Network enclaves in support of the DoW community. This role is hands-on and focused on automation, including writing infrastructure code, improving deployment pipelines, and helping teams operate more efficiently in the cloud. We are seeking a skilled AWS Cloud Elastic Observability Engineer to join our ECS Everforth organization. This role focuses on deploying, automating, and maintaining the Elastic Observability stack using containerized environments and configuration management tools like Docker and Ansible. You will work with cross-functional teams to ensure reliable data ingestion, performant dashboards, and high-quality monitoring coverage across distributed systems.

Responsibilities
  • Deploy, configure, and maintain Elastic Observability components (Elastic Agent, Beats, Logstash, Kibana, APM).
  • Build and manage containerized Elastic environments using Docker (including Compose and containerized pipelines).
  • Deploy and operate Elastic components in Kubernetes (ECK, Helm, operators, or custom manifests).
  • Maintain and optimize pipelines for logs, metrics, and traces across distributed systems.
  • Develop dashboards, alerting rules, and visualizations in Kibana or other observability tools.
  • Troubleshoot ingestion issues, mapping problems, parsing failures, and data quality concerns.
  • Work with application and infrastructure teams to onboard new services into observability.
  • Implement ILM policies, data retention standards, and monitoring best practices.
  • Document architectures, SOPs, and engineering workflows.
  • Stay current with Elastic features, observability trends, cloud-native monitoring, and automation patterns.
  • Other duties, as assigned.

Note: Salary is commensurate with skillset, qualifications, experience, and educational background. Salary: 140,000-165,000

U.S. Citizen.

Active Secret clearance

Bachelor's degree and 5+ years of related experience.

Active a DoD 8140 IAT Level II Security+ (or higher).

Ability to work up to 3 days a week onsite in Fairfax, VA.

Strong experience with the Elastic Stack, specifically Elastic Observability (logging, metrics, tracing).

Hands-on experience with:
  • Containerized deployments.
  • Kubernetes (ECK, Helm, Operators, or cluster-level operations).
  • Strong proficiency with automation and configuration management.

Solid understanding of Linux systems and networking fundamentals.

Experience parsing and normalizing log data (pipelines, ingest processors).

Ability to build and maintain dashboards, alerts, SLO/SLA visibility, and health monitoring.

Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.

Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management).

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