Senior Elastic Solutions Engineer

vor 3 Wochen

Wiesbaden, Hessen, Deutschland ECS Vollzeit

ECS is in search of a Senior Elastic Engineer to contribute to our innovative projects.

Role Overview:

As a premier provider of managed cybersecurity solutions, ECS is dedicated to delivering highly customized services tailored to the unique needs of each client. Our team plays a crucial role in safeguarding both our clients and the ECS corporate environment. We embrace a broad mission and operate with agility, leveraging your distinctive skills to tackle challenges in your own manner. Whether it involves engineering a solution to overcome a technical obstacle, securing client data, or providing consultancy on various security matters, you will have the autonomy to engage and lead across diverse teams.

The Senior Elastic Engineer position will focus on supporting ECS's Army Endpoint Security Solution (AESS) program. This hands-on technical role involves collaborating within a multidisciplinary team to design, construct, secure, maintain, optimize, and document multiple Elastic deployments globally in a Federal DoD environment. These deployments utilize the comprehensive capabilities of the Elastic Stack, including Elasticsearch, Logstash, Kibana, Beats, Machine Learning, SIEM, and Fleet, alongside third-party technologies like Confluent Kafka. You will also provide ongoing data normalization support and assist in delivering written technical documentation such as Standard Operating Procedures (SOPs) and process workflows to enhance tool utilization and contribute to new functionalities.

Key Responsibilities:

  • Design, deploy, configure, and maintain Elastic stack and Confluent Kafka systems.
  • Manage, patch, and upgrade Elasticsearch, Confluent, and associated systems.
  • Optimize Elastic stack deployments based on application and client requirements.
  • Develop and configure ETL data pipelines to ingest client-defined data sets, including application logs, metrics, and threat events.
  • Create custom visualizations and dashboards utilizing 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 applications as necessary.
  • Create Machine Learning (ML) jobs to dynamically monitor and alert on identified metrics, KPIs, and data anomalies.
  • Adhere to ITIL-based change management processes to transition solutions from Development to Testing and into Production.

Required Qualifications:

  • Bachelor’s degree with 4+ years of experience or 7+ years of experience without a degree.
  • Minimum Top-Secret clearance is required, with the possibility to start with Secret clearance.
  • Compliance with DoD 8140 / 8570 IAT Level II certification prior to commencement.
  • Certified Elastic Engineer or willingness to obtain certification within 90 days of employment.
  • At least 4 years of hands-on experience in deployment, configuration, and solution development using the Elastic Stack for security and logging applications. Specific experience with Elastic SIEM is advantageous.
  • Proven experience with the complete Elastic Stack - Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration.

Preferred Qualifications:

  • Experience integrating Elasticsearch with external systems (e.g., SOAR tools, Threat Intelligence Platforms).
  • Knowledge of data management: hot/warm/cold architectures, shard allocation/re-allocation, snapshots & restoration.
  • Strong background in evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration.
  • Familiarity with integrating Elasticsearch with alternative authentication mechanisms such as SAML, LDAP, and PKI.
  • Experience supporting the Elastic Stack in on-premises and SaaS environments, including system monitoring and tuning.
  • Knowledge of securing the Elastic stack and hardening hosting environments.
  • Proficiency in developing in multiple programming languages (Python, Bash, PowerShell, Painless, etc.).
  • Experience in designing and implementing highly scalable solutions using the Elastic Stack.
  • Expertise in developing data structures and mapping from various sources to achieve data normalization using Elastic Common Schema.
  • Experience developing Logstash and/or Elastic Ingest Pipelines.
  • Proficient in creating custom visualizations and dashboards using Kibana.
  • Experience in developing custom reporting solutions using APIs that leverage Elasticsearch and Kibana.
  • Strong technical foundation in building reliable, scalable, and maintainable systems.
  • Experience with Red Hat Enterprise Linux deployment and administration.
  • Familiarity with using and developing Ansible playbooks for automating system deployment and/or configuration.

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