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Job Description & How to Apply Below
Job Description
Lead Logstash/Elasticsearch Engineer responsible for designing, implementing, and supporting enterprise‑scale log management, data ingestion, and search analytics solutions for the Data and Analytics team within Network and Collaboration Services. Experience with the Elastic Stack, Linux administration, Python scripting, and networking fundamentals is required.
What will you do?- Design, develop, and maintain data ingestion pipelines using Logstash
- Configure, administer, and optimize Elasticsearch clusters for performance, scalability, and reliability
- Monitor and troubleshoot data flows, indexing processes, and search performance issues
- Develop and maintain automation scripts using Python
- Manage and support Linux‑based environments hosting Elastic Stack components
- Analyze system logs and operational data to identify issues and improve platform stability
- Collaborate with infrastructure, application, and security teams to onboard new data sources
- Implement data retention, indexing, and lifecycle management strategies
- Document configurations, operational procedures, and troubleshooting guides
- Participate in incident response and root cause analysis activities
- 5+ years of experience working with Elasticsearch, Logstash, or related technologies
- Experience in supporting production environments with high availability requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience)
- Proficiency in creating and managing Logstash pipelines, filters, and data transformations
- Knowledge of Elasticsearch indexing, mappings, queries, and cluster management
- Strong knowledge of Linux OS (RHEL, CentOS, Ubuntu, or similar)
- Expertise with Linux command‑line tools, process management, file systems, and shell scripting
- Ability to troubleshoot application and system‑level issues in Linux environments
- Proficiency in Python for automation, data processing, and operational tooling
- Experience developing scripts for monitoring, log analysis, and system administration
- Understanding of networking fundamentals like TCP/IP, DNS, HTTP/HTTPS, load balancing, and firewalls
- Ability to troubleshoot network connectivity and firewall issues
- Capability to analyze connectivity and data flow in distributed systems
- Knowledge of T‑SQL and experience with Microsoft SQL Server environments
- Experience with Kibana dashboards and visualizations
- Exposure to CI/CD pipelines and Dev Ops practices
- Knowledge of monitoring tools such as Prometheus, Grafana, or similar
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with security monitoring, SIEM, or observability solutions
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leadership support for development through coaching and management opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high‑performing team
- A world‑class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
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