Elastic Platform Engineer

Reposted 5 Days Ago
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London, Greater London, England
In-Office
Senior level
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
The Role
The Elastic Platform Engineer will manage and evolve the Elastic SIEM and Tines infrastructure, ensuring its stability and security while mentoring junior engineers. Responsibilities include planning upgrades and collaborating on security operations.
Summary Generated by Built In

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve.  Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

The role

We’re looking for an Elastic Platform Engineer to manage and evolve the Elastic SIEM and Tines infrastructure within our Security Engineering team. In short, you’ll be the brain behind Elastic and Tines at G-Research.

You’ll ensure stability, scalability and security of the platform, while planning and executing upgrades, patches and integrations.

As a senior engineer within the team, you’ll be expected to mentor junior colleagues and contribute to the cross-skilling of the wider Security Engineering function, including support for the Azure Logging platform when required.

You will report into the Security Engineering Manager and play a key role in enabling the CSIRT Team to perform effective security monitoring and incident response across G-Research’s cloud, hybrid cloud and corporate environments.

Key responsibilities of the role include:

  • Owning the Elastic SIEM and Tines infrastructure, ensuring reliability, performance and security
  • Planning, testing and implementing system upgrades, patches and improvements with minimal service disruption
  • Collaborating with security analysts, detection engineers and threat hunters to ensure platform effectiveness and enable Elastics ML capabilities
  • Implementing automation and orchestration in SIEM operations through Tines
  • Developing documentation, standards and best practices for platform administration
  • Supporting both operational tasks and config as code deployments
  • Leveraging configuration management and deployment-as-code practices to maintain infrastructure consistency and repeatability
  • Supporting and cross-skilling junior engineers in operational and platform-related tasks
  • Contributing to the management of the Azure Logging platform as needed
  • Evaluating and integrating new technologies to strengthen the security platform’s capabilities

Who are we looking for?

The ideal candidate will have the following skills and experience:

  • Significant experience administering and scaling Elastic SIEM - Elastic Security, Elastic Stack) -in enterprise environments
  • Expertise with automation and orchestration tools, such as Tines and SOAR platforms
  • Familiarity with Bash, Python or equivalent languages
  • Strong knowledge of Linux systems, networking and cloud logging architectures
  • Proven ability to manage upgrades, migrations and high-availability deployments
  • Experience in securing hybrid cloud environments, including Azure, AWS or GCP
  • Strong scripting skills in Bash and Python (or equivalent), with experience in automation and operational tooling
  • Proficiency in Linux system administration, including troubleshooting, performance tuning and security hardening
  • Experience with infrastructure-as-code and config management tools, such as Ansible, Terraform, Puppet or similar
  • Familiarity with security monitoring, incident response and detection engineering workflows
  • Mentorship or leadership experience within technical security teams.

Behavioural competencies

  • Reliability: Committed to delivering operational stability and continuous service improvement
  • Collaboration: Works closely with analysts, engineers and stakeholders to deliver effective outcomes
  • Problem Solving: Skilled at diagnosing complex infrastructure issues and implementing robust solutions
  • Leadership: Provides technical guidance and mentoring to junior colleagues
  • Adaptability: Able to respond quickly to emerging requirements, incidents and technology shifts

Why should you apply?

  • Highly competitive compensation plus annual discretionary bonus
  • Lunch provided (via Just Eat for Business) and dedicated barista bar
  • 30 days’ annual leave
  • 9% company pension contributions
  • Informal dress code and excellent work/life balance
  • Comprehensive healthcare and life assurance
  • Cycle-to-work scheme
  • Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

Top Skills

Ansible
AWS
Azure
Bash
Elastic Siem
GCP
Linux
Puppet
Python
Terraform
Tines
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The Company
Dallas, TX
1,039 Employees
Year Founded: 2001

What We Do

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.

We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.

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