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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 dynamic team in London, blending office and remote work for flexibility.
- Benefits: Enjoy a competitive rate of £430 per day and a hybrid working model.
- Why this job: Dive into cutting-edge technology while enhancing your skills in a fast-paced trading environment.
- Qualifications: Expertise in the Elastic Stack and scripting in Python or PowerShell is essential.
- Other info: Ideal for tech-savvy individuals eager to make an impact in financial systems.
The predicted salary is between 43200 - 72000 £ per year.
Role Title: Elastic Engineer
All potential candidates should read through the following details of this job with care before making an application.
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
Network with professionals in the Elastic community. Attend meetups, webinars, or conferences related to the Elastic Stack. Engaging with others in the field can provide insights into the latest trends and potentially lead to job referrals.
✨Tip Number 2
Showcase your hands-on experience with the Elastic Stack by contributing to open-source projects or creating your own projects. This not only demonstrates your skills but also gives you practical examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the specific tools mentioned in the job description, such as Corvil or ITRS Geneos. Even if you don't have direct experience, understanding how these tools integrate with the Elastic Stack can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common Elastic Stack scenarios and problems. Be ready to discuss your approach to index lifecycle management and cluster health monitoring, as these are crucial for the role.
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 Compelling 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 tools like Corvil or Pico. This is your chance to showcase how your background aligns with the job requirements.
Highlight Relevant Skills: Clearly outline your scripting proficiency in Python and/or PowerShell, as well as your experience with APIs and third-party data sources. Emphasise your understanding of security best practices and observability platforms, as these are crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. Ensure that all information is accurate and that your application presents you in the best possible light. A polished application reflects your attention to detail.
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 the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of ILM and Cluster Health
Make sure to articulate your knowledge of index lifecycle management and shard optimisation. Discuss how you've monitored cluster health in previous roles, especially in low latency applications, as this is crucial for the position.
✨Prepare for Technical Questions on Networking and Data Flow
Expect questions about IP networking and data flow within distributed systems. Brush up on your understanding of these concepts and be ready to provide examples of how you've applied them in real-world scenarios.
✨Familiarise Yourself with Relevant Tools and Technologies
While knowledge of Corvil and Pico tools is beneficial, ensure you're well-versed in scripting with Python or PowerShell. Be ready to discuss how you've automated ELK deployment and monitoring processes in your past experiences.
