Aktuelle Jobs im Zusammenhang mit Senior Elastic Solutions Engineer - Wiesbaden, Hessen - ECS
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Senior Software Engineer
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Senior Elastic Solutions Engineer
vor 2 Monaten
ECS is in search of a Senior Elastic Engineer to contribute to our innovative projects.
Position Overview:
As a premier provider of managed cybersecurity solutions, ECS is dedicated to delivering 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 value agility and creativity, encouraging you to leverage your distinct skills to tackle challenges in your own manner. Whether it involves engineering systems to overcome technical obstacles, securing client data, or providing consultation on a variety of security issues, you will have the authority to engage and lead across various teams.
The Senior Elastic Engineer role will focus on supporting ECS's Army Endpoint Security Solution (AESS) program. This hands-on technical position requires collaboration within a multidisciplinary team to design, build, secure, maintain, optimize, and document multiple Elastic deployments in a Federal DoD environment. These implementations utilize the full range of Elastic Stack capabilities, including Elasticsearch, Logstash, Kibana, Beats, Machine Learning, SIEM, and Fleet, along with third-party technologies such as Confluent Kafka. You will also provide ongoing data normalization support and assist in delivering 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 and related systems.
- Optimize Elastic stack deployments based on specific application and customer requirements.
- Create and configure ETL data pipelines to ingest customer-defined datasets, including application logs, metrics, and threat events.
- Develop custom visualizations and dashboards using Kibana.
- Maintain index templates and information lifecycle management (ILM) policies.
- Create Elastic alerting solutions utilizing Watcher and/or Kibana Rules and Connectors, integrating with ticketing systems, email, and messaging applications as necessary.
- Develop Machine Learning (ML) jobs to monitor and alert on key 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, can start with Secret.
- Compliance with DoD 8140 / 8570 IAT Level II certification prior to employment.
- Certified Elastic Engineer or willingness to obtain certification within 90 days of hire.
- At least 4 years of hands-on experience in deploying, configuring, and developing solutions using the Elastic Stack for security and logging applications, with specific experience in Elastic SIEM being 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).
- Familiarity with data management practices: hot/warm/cold architectures, shard allocation/re-allocation, snapshots, and restoration.
- Strong background in evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration.
- Experience integrating Elasticsearch with alternative authentication methods such as SAML, LDAP, and PKI.
- Experience supporting the Elastic Stack in both on-premises and SaaS environments, including system monitoring and tuning.
- Knowledge of securing the Elastic stack and hardening hosting environments.
- Proficiency in multiple programming languages (Python, Bash, PowerShell, Painless, etc.).
- Experience designing and implementing highly scalable solutions using the Elastic Stack.
- Experience developing data structures and mapping from various sources to achieve data normalization using Elastic Common Schema.
- Experience creating Logstash and/or Elastic Ingest Pipelines.
- Experience in developing custom visualizations and dashboards using Kibana.
- Expertise in creating 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 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.
