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Application support engineer

Slough
JR United Kingdom
Application support engineer
€80,000 - €100,000 a year
Posted: 4 June
Offer description

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Application Support Engineer - Global Quant Trading Firm | Up to £160k TC

A globally renowned quantitative trading firm who are currently experiencing strong growth are searching for a highly technical application support analyst to support their expanding application stack.

You'll be joining a collaborative environment where technology is very much at the fore-front. This hire will be expected to work heavily on automation and monitoring - ideal for someone who enjoys scripting, AI, and next-gen tooling.

Below I have included a breakdown of the role, company, and requirements. Please review and if the opportunity seems like a good fit share your CV!

Role:

* Provide application support to a fast growing estate of systems
* Engage in incident management and root cause analysis
* Identify opportunities for automation and implement appropriately, utilising scripting across Python, PowerShell, and Bash
* Set-up and enhance platform monitoring, utilising technologies such as Grafana and Splunk to maximise platform uptime
* Work to onboard new applications and enhance existing ones
* Get exposure to a diverse application environment covering Linux, Windows, AWS, and SAAS
* Identify practical applications for GenAI platforms such as ChatGPT

Company:

* Tech led approach - Drives approach to trading and internal investment decisions
* c.1,000 staff - Good size for exposure, yet opportunity
* Main engineering and trading hub based out of start of the art brand new London based office
* Flat structure to facilitate collaboration and allow access to C level members
* Great work life balance quoted frequently on Glassdoor - Free Breakfast and Lunch, 2 days per week WFH, Free On-Site Gym
* Great compensation - Year 1 guaranteed bonus, 13% pension, Potential for Sign-On Bonuses

Requirements:

* 3+ Years application support experience
* Monitoring tooling experience i.e. Grafana and Splunk
* Strong Scripting - Python/Bash/PowerShell
* Cloud exposure (preferably AWS)
* IaaC tooling experience i.e. Terraform and Ansible
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