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Senior Elastic Solutions Engineer
vor 3 Monaten
ECS is in search of a Senior Elastic Engineer to contribute to our cybersecurity initiatives.
Position Overview:
As a premier provider of managed cybersecurity solutions, ECS is dedicated to delivering tailored services to our clients. Our team plays a crucial role in safeguarding both our clients and the ECS environment. We embrace a broad mission and operate with agility, leveraging your unique expertise to tackle challenges innovatively. Whether it involves engineering systems to overcome technical obstacles, securing client data, or providing consultancy on various security matters, you will have the authority to engage and lead across diverse teams.
The Senior Elastic Engineer position is pivotal 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, along with third-party technologies like Confluent Kafka. You will also provide ongoing data normalization support and assist in producing 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 implementations.
- Manage, patch, and upgrade Elasticsearch, Confluent, and related 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 customized visualizations and dashboards using Kibana.
- Configure and manage index templates and information lifecycle management (ILM) policies.
- Develop Elastic 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 dynamically monitor and alert on specified 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 is required prior to employment.
- Certified Elastic Engineer or willingness 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, 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.
- Knowledge of securing the Elastic stack and hardening hosting environments.
- Proficiency in developing in multiple programming languages (Python, Bash, PowerShell, Painless, etc.).
- Experience designing and implementing highly scalable solutions using the Elastic Stack.
- Expertise in developing data structures and mapping data from various sources to achieve data normalization using Elastic Common Schema.
- Experience developing Logstash and/or Elastic Ingest Pipelines.
- Ability to create 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.
- Familiarity with Red Hat Enterprise Linux deployment and administration.
- Experience using and developing Ansible playbooks for automating system deployment and/or configuration.
