Aktuelle Jobs im Zusammenhang mit Senior Elastic Solutions Engineer - Wiesbaden, Hessen - ECS
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Senior Software Engineer
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Senior Software Engineer for a fast-growing company
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Senior Software Engineer
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Wiesbaden, Hessen, Deutschland DIS AG VollzeitRole SummaryWe are seeking a skilled Senior Software Engineer to join our team. The ideal candidate will have a strong background in backend development and proficiency in Python programming language.The successful candidate will be responsible for designing, developing, and maintaining large-scale software systems, collaborating with cross-functional teams,...
Senior Elastic Solutions Engineer
vor 2 Monaten
ECS is in search of a Senior Elastic Engineer to contribute to our cybersecurity initiatives.
Role Overview:
As a premier provider of managed cybersecurity solutions, ECS tailors its offerings to meet the unique needs of each client. Our dedicated team is tasked with safeguarding both our clients and the ECS corporate environment. We embrace a broad mission and operate with agility, encouraging you to leverage your distinct skills to tackle challenges in innovative ways. Whether it's engineering a solution to overcome a technical obstacle, securing client data, or providing consultation on a variety of security matters, you will have the authority to engage and lead across various teams.
The Senior Elastic Engineer position will play a crucial role in supporting ECS's Army Endpoint Security Solution (AESS) program. This hands-on technical role requires collaboration within a multidisciplinary team to design, construct, secure, maintain, optimize, and document multiple Elastic deployments in a Federal DoD context. These implementations utilize the complete Elastic Stack, including Elasticsearch, Logstash, Kibana, Beats, Machine Learning, SIEM, and Fleet, alongside third-party technologies like Confluent Kafka. You will also be responsible for providing ongoing data normalization support and delivering written technical documentation such as Standard Operating Procedures (SOPs) and process workflows to enhance tool utilization and contribute to new capabilities.
Key Responsibilities:
- Design, deploy, configure, and maintain Elastic stack and Confluent Kafka systems.
- Manage, patch, and upgrade Elasticsearch and related technologies.
- Optimize Elastic stack deployments based on specific application and customer requirements.
- Develop and configure ETL data pipelines to process customer-defined datasets, including application logs, metrics, and threat events.
- Create tailored visualizations and dashboards using Kibana.
- Set up and maintain index templates and information lifecycle management (ILM) policies.
- Develop alerting solutions using Watcher and/or Kibana Rules and Connectors, integrating with ticketing systems, email, and messaging applications as necessary.
- Create Machine Learning (ML) jobs to monitor and alert on defined metrics, KPIs, and data anomalies.
- Adhere to ITIL-based change management processes to transition solutions from development to testing and 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 ability to start with Secret clearance.
- Compliance with DoD 8140 / 8570 IAT Level II certification prior to employment.
- Certified Elastic Engineer or commitment to obtain certification within 90 days of employment.
- 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).
- Knowledge of data management practices, including hot/warm/cold architectures, shard allocation/re-allocation, and snapshots & restoration.
- Strong expertise in evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration.
- Familiarity with integrating Elasticsearch with various authentication mechanisms such as SAML, LDAP, and PKI.
- Experience supporting the Elastic Stack in both on-premises and SaaS environments, including system monitoring and tuning.
- Skills in securing the Elastic stack and hardening hosting environments.
- Proficiency in developing with 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 diverse sources to achieve data normalization using Elastic Common Schema.
- Experience in developing Logstash and/or Elastic Ingest Pipelines.
- Skills in creating custom visualizations and dashboards using Kibana.
- Experience in developing custom reporting solutions utilizing APIs that leverage Elasticsearch and Kibana.
- Strong technical foundation in building reliable, scalable, and maintainable systems.
- Familiarity with Red Hat Enterprise Linux deployment and administration.
- Experience in using and developing Ansible playbooks for automating system deployment and configuration.
