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Senior Elastic Engineer

vor 2 Monaten

Wiesbaden, Hessen, Deutschland ECS Vollzeit
About the Role

We are seeking a highly skilled Sr. Elastic Engineer to join our team at ECS. As a leading provider of managed cybersecurity services, we require a technical expert to design, build, secure, maintain, optimize, and document multiple Elastic deployments globally in a Federal DoD environment.

Key Responsibilities
  • Design, deploy, configure, and maintain Elastic stack and Confluent Kafka deployments.
  • Manage, patch, and upgrade Elasticsearch, Confluent, and other related systems.
  • Tune and optimize Elastic stack deployments based on application/customer needs.
  • Design and configure ETL data pipelines to ingest customer-defined data sets such as application logs, metrics, and/or threat events.
  • Create custom visualizations and dashboards using Kibana.
  • Configure and maintain index templates and information lifecycle management (ILM) policies.
  • Develop Elastic alerting solutions using Watcher and/or Kibana Rules and Connectors with integrations to ticketing systems, email, and messaging apps as required.
  • Develop Machine Learning (ML) jobs to dynamically monitor and alert on identified metrics, KPIs, and/or data anomalies.
  • Follow ITIL-based change management processes to move solutions from Dev to Test and into Production.
Requirements
  • BS/BA with 4+ years or 7+ years experience without degree.
  • Minimum Top-Secret clearance is required, can start with Secret.
  • Compliance with DoD 8140/8570 IAT Level II certification prior to start date.
  • Certified Elastic Engineer or willingness to gain certification within 90 days of hire.
  • At least 4 years' hands-on experience in deployment, configuration, and solution development using the Elastic Stack for security and logging use-cases. Specific experience with Elastic SIEM is a plus.
Desired Skills
  • Experience integrating Elasticsearch with external systems (e.g., SOAR tools, Threat Intel Platforms)
  • Experience with data management: hot/warm/cold architectures, shard allocation/re-allocation, snapshots & restoration
  • Strong experience with evaluating existing Elastic clusters, configuration parameters, indexing, search, and query performance tuning, security, and cluster administration.
  • Experience integrating Elasticsearch with alternate authentication mechanisms such as SAML, LDAP, and PKI.
  • Experience with supporting the Elastic Stack in on-prem and SaaS environments, including system monitoring and tuning.
  • Experience securing the Elastic stack and hardening hosting environments.
  • Experience with developing in multiple languages (Python, Bash, PowerShell, Painless, etc.).
  • Experience with the design and implementation of highly scalable solutions using the Elastic Stack.
  • Experience in developing data structures, data mapping from various sources to achieve data normalization using Elastic Common Schema.
  • Experience developing Logstash and/or Elastic Ingest Pipelines.
  • Experience developing custom visualizations and dashboards using Kibana.
  • Developing custom reporting solutions using APIs that leverage Elasticsearch and Kibana.
  • Experience in end-to-end low-level design, development, administration, and delivery of Elasticsearch-based reporting solutions.
  • Strong technical foundation in building reliable, scalable, and supportable systems.
  • Experienced in Red Hat Enterprise Linux deployment and administration.
  • Experience using and developing Ansible playbooks for automation of system deployment and/or configuration.