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- Tasks: Join us as an Elastic Engineer, managing and optimising ELK infrastructure for high-performance environments.
- Company: Be part of a leading tech firm in London, driving innovation in data observability.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Work in a dynamic trading environment, making a real impact with cutting-edge technology.
- Qualifications: Expertise in the Elastic Stack and scripting skills in Python or PowerShell are essential.
- Other info: This role offers a chance to work with advanced technologies in a fast-paced industry.
The predicted salary is between 48000 - 72000 £ per year.
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.
Elastic Engineer employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elastic Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with the Elastic Stack during networking opportunities. Attend meetups or webinars focused on Elasticsearch, Logstash, and Kibana to connect with industry professionals who might have insights or referrals for the role.
✨Tip Number 2
Familiarise yourself with the latest trends and updates in the Elastic Stack. Being able to discuss recent features or improvements can set you apart in conversations with potential employers and demonstrate your commitment to staying current in the field.
✨Tip Number 3
Join online forums or communities related to Elastic technologies. Engaging in discussions and sharing your knowledge can help you build a network of contacts who may know about job openings or can provide valuable advice on landing the Elastic Engineer position.
✨Tip Number 4
Consider creating a personal project that showcases your skills with the Elastic Stack. This could be a small application or a data analysis project that you can present during interviews, demonstrating your practical expertise and problem-solving abilities.
We think you need these skills to ace Elastic Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expert-level knowledge of the Elastic Stack and relevant experience in architecting and managing ELK infrastructure. Use specific examples that demonstrate your skills in index lifecycle management and cluster health monitoring.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your hands-on expertise in data pipeline creation and any experience with scripting in Python or PowerShell. Relate your background to the specific requirements listed in the job description.
Showcase Relevant Projects: If you have worked on projects involving ELK integration with packet capture tools or observability platforms, be sure to include these in your application. Highlight your contributions and the impact they had on performance and observability.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. Ensure that all technical terms are used correctly and that your application is clear and professional.
How to prepare for a job interview at Experis
✨Showcase Your Elastic Stack Expertise
Be prepared to discuss your hands-on experience with the Elastic Stack. Highlight specific projects where you architected, deployed, or managed ELK infrastructure, and be ready to explain your approach to index lifecycle management and cluster health monitoring.
✨Demonstrate Networking Knowledge
Since a strong understanding of IP networking is crucial, brush up on data flow within distributed systems. Be ready to answer questions about how you've integrated ELK with packet capture tools and how this enhances observability.
✨Scripting Skills Matter
Your proficiency in Python and/or PowerShell will be key. Prepare examples of how you've used scripting to automate ELK deployment and monitoring processes, as well as any performance tuning you've done with Logstash and Beats.
✨Understand Financial Systems
Familiarity with trading infrastructures and protocols is a plus. Be ready to discuss your understanding of high-frequency trading environments and how your skills can contribute to optimising performance in such settings.
