Elastic Engineer
- London
- Contract
- Full-time
- Expert-level knowledge of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), with proven experience in architecting, deploying, and managing ELK infrastructure across distributed, high-performance environments.
- Strong understanding of index lifecycle management (ILM), shard optimization, and cluster health monitoring to support low latency applications.
- Practical and working knowledge of IP networking and data flow within distributed systems.
- Experience integrating ELK with packet capture/analysis tools to enhance observability of real-time systems.
- Hands-on expertise in data pipeline creation, ingestion strategies, and performance tuning of Logstash and Beats for scalable telemetry.
- Knowledge of Corvil and/or Pico tools is highly beneficial but not essential, particularly for ingesting network telemetry into Elasticsearch.
- Scripting proficiency in Python and/or PowerShell to automate ELK deployment, monitoring, and alerting pipelines.
- Experience designing and working with APIs (REST/JSON/XML) and integrating third-party data sources into the ELK stack.
- Exposure to Solace, 29West, Tibco, or other low latency messaging platforms is advantageous for understanding event-driven architectures in financial systems.
- Familiarity with trading infrastructures and protocols (FIX, Market Data, Order Entry, etc.), with a deep understanding of the demands of high-frequency and algorithmic trading environments.
- Working knowledge of security best practices, including RBAC, TLS, and audit logging in Elasticsearch.
- Experience with observability platforms such as ITRS Geneos and their integration with ELK is a strong plus.
- Comfortable with multi-site replication, cross-cluster search, and disaster recovery configurations for global deployment.
- Strong understanding of Linux systems, containers, and cloud-native observability stacks.
- Organized, self-driven, and able to manage priorities in a dynamic, high-performance trading environment.