Sr. Elastic Engineer

ECS; Bedford (MA); On-site; USD 180,000 - 210,000; Full time

Job summary

ECS is seeking a Senior Elastic Engineer to build and scale Elastic environments in Bedford, MA. You will implement and optimize Elastic Stack, focusing on automation and integrations to enhance performance and reliability.

The ideal candidate has extensive knowledge of Elastic tools, strong scripting capabilities, and is a team player. Monitoring system health and leading design reviews are also key components of this role, alongside supporting various cloud platforms such as AWS and Azure.

Qualifications

• Expertise in Elastic Stack is essential.
• Strong scripting experience in Python, PowerShell, Bash.
• Understanding of logging, metrics, and distributed systems.
• Experience with production-scale Elastic environments.

Responsibilities

• Design and manage Elastic Stack environments.
• Build and optimize data ingestion pipelines.
• Script automation for operations and monitoring.
• Integrate Elastic with enterprise tools.

Skills

Elastic Stack expertise

Scripting and automation skills

Linux/Unix knowledge

Networking knowledge

Cloud platform knowledge (AWS, Azure, GCP)

Communication skills

Tools

Terraform

Ansible

Kubernetes

Docker

Job description

Job Title: Sr. Elastic Engineer

Location: Bedford, MA

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.

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 - $210,000

Required Skills

• 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 Secret Clearance, at minimum.

Desired Skills

• Experience with containerization and orchestration (Kubernetes, Docker, OpenShift).
• Experience with automation/orchestration tools (Terraform, Ansible, CI/CD pipelines).
• Familiarity integrating Elastic with endpoint telemetry or cloud‑native tools.
• Certifications (preferred):
• Elastic Certified Engineer, Elastic Security Engineer, Elastic Observability Engineer
• AWS Certified Solutions Architect or equivalent
• Docker Certified Associate (DCA)
• Certified Kubernetes Administrator (CKA)
• HashiCorp Certified: Terraform Associate
• Red Hat Certified Specialist in Ansible Automation
• Prior experience in DevOps, Site Reliability Engineering, or cloud platform roles is a plus.
• Experience designing dashboards, observability frameworks, and large‑scale workflows.
• Experience with the below:
• Platforms: On‑premises, Public Cloud (AWS, Azure, GCP), GovCloud, hybrid deployments
• Containerization: Kubernetes, Docker, OpenShift
• Automation: Terraform, Ansible, CI/CD pipelines, Docker
• Integrations: SIEMs (Splunk, Elastic Security), endpoint/security telemetry (CrowdStrike), cloud‑native services
• Competing Technologies:
• Splunk, OpenSearch, Solr, Lucene, Graylog, Datadog, Elastic Cloud alternatives

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.