AWS Cloud Elastic Observability Engineer

ECS Federal, LLC.
Washington, DC, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$140,000 - $165,000
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Bash Shell Cloud Computing Configuration Management Data Retention Linux Distributed Systems Elasticsearch Python (Programming Language) Networking Basics Oracle (Applications)
+21 more
Parsing Windows PowerShell Reliability Engineering Site Reliability Engineering Practices Logstash Ansible Runbook Software Engineering Data Logging Scripting Google Cloud Data Ingestion Delivery Pipeline SC Clearance Containerization Kubernetes Infrastructure Automation Frameworks Network Support BIG-IP Access Policy Manager (APM) Kibana Docker

Job description

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., * 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.

Requirements

Amazon Web Services (AWS), Software Engineering, Cloud Computing, Software Engineering, Process Improvement, Automation, Cloud Computing, Amazon Web Services (AWS), Network Support, Ansible, * 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).
  • Elastic certifications: Elastic Certified Engineer or Elastic Observability Engineer.
  • Familiarity with other cloud platforms (Azure, GCP, Oracle).
  • Scripting experience with Python, Bash, or PowerShell.
  • Experience with tracing frameworks like OpenTelemetry.
  • Exposure to SRE practices (SLOs, error budgets, runbooks, reliability engineering).

About the company

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!

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