Elastic Engineer
Posted 4 days 22 hours ago by Experis - ManpowerGroup
Role Title: Elastic Engineer
Location: London Hybrid - 60% Office, 40% Remote
Start Date: ASAP
Duration: 31/03/2026
Rate: £430p/d via Umbrella
Key Responsibilities:
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.