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1,085

Computer Science jobs in France

Software Developer - Infrastructure

XTX Markets

London
On-site
GBP 60,000 - 80,000
30+ days ago
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Senior SAP PP Consultant

Cavendish Professionals

Whitehall
Remote
GBP 60,000 - 90,000
30+ days ago

Graduate DevOps Engineer - Leeds

Agility Resoucing

Leeds
On-site
GBP 20,000 - 28,000
30+ days ago

Permanent academic vacancy: Computer Science

NLP PEOPLE

Leeds
On-site
GBP 35,000 - 45,000
30+ days ago

Graduate Data Scientist - Leeds

Agility Resoucing

Leeds
On-site
GBP 22,000 - 27,000
30+ days ago
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Graduate Data Analyst

Agility Resoucing

England
On-site
GBP 25,000 - 35,000
30+ days ago

Data Scientist – PhD Computer Science, Recommender Systems, NLP, Machine Learning, Java

NLP PEOPLE

London
On-site
GBP 45,000 - 60,000
30+ days ago

Senior SAP MM Consultant

Cavendish Professionals

Whitehall
Remote
GBP 70,000 - 90,000
30+ days ago
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LECTURER IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE

NLP PEOPLE

Colchester
On-site
GBP 60,000 - 80,000
30+ days ago

Director – Quant Developer, Cross-Asset

Barclay Simpson

London
Hybrid
GBP 350,000 - 500,000
30+ days ago

Lead Engineer, Mobile Performance

PlayStation Global

London
On-site
GBP 70,000 - 100,000
30+ days ago

Research Associate

NLP PEOPLE

City of Edinburgh
On-site
GBP 30,000 - 45,000
30+ days ago

Smart Contract Engineer - Ethereum, Solidity

Clearmatics

London
Hybrid
GBP 70,000 - 100,000
30+ days ago

Data Governance Lead

TalkTalk

Salford
On-site
GBP 70,000 - 95,000
30+ days ago

Solutions Architect - Cloud Optimization Success

Amazon

London
On-site
GBP 70,000 - 100,000
30+ days ago

Software Developer (Python skills required)

Netcompany

Leeds
Hybrid
GBP 40,000 - 60,000
30+ days ago

Identity and Access Management Engineer

Trafigura

London
On-site
GBP 70,000 - 90,000
30+ days ago

Backup and Storage Engineer

Trafigura

London
On-site
GBP 50,000 - 80,000
30+ days ago

Junior Python Developer

CarbonChain

London
On-site
GBP 30,000 - 45,000
30+ days ago

Quantitative Analyst, Risk Models,VP

Jefferies

London
On-site
GBP 80,000 - 120,000
30+ days ago

Software Engineer II

Cadence Design Systems

Cambridge
Hybrid
GBP 30,000 - 45,000
30+ days ago

Quantitative Analyst, Model Validation, AVP

Jefferies

London
On-site
GBP 70,000 - 100,000
30+ days ago

Senior Director, Systems Architect (Agentic Intelligence)

GroupM

London
Hybrid
GBP 80,000 - 120,000
30+ days ago

Founding Designer/Design Engineer

Solve Intelligence

England
On-site
GBP 40,000 - 60,000
30+ days ago

Equity Systematic Researchers / Developers

jobs.jerseyeveningpost.com-job boards

United Kingdom
On-site
GBP 50,000 - 90,000
30+ days ago

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Software Developer - Infrastructure
XTX Markets
London
On-site
GBP 60,000 - 80,000
Full time
30+ days ago

Job summary

XTX Markets, an algorithmic trading firm in London, is seeking a Software Developer for its Shared Engineering team. The role focuses on developing systems and infrastructure that aid other teams, utilizing efficiencies in coding and automation. Ideal candidates should possess coding skills in Go or Python, along with experience in Linux, automated systems, and TCP/IP networking.

Benefits

Onsite gym and sauna
Extensive medical benefits
Daily breakfast and lunch
25 days paid holiday per year
Generous pension contributions
4 days onsite work, 1 from home

Qualifications

  • Experience coding in Go or Python and knowledge of Bash and C.
  • In-depth knowledge of Linux and networking protocols such as DNS and DHCP.
  • Practical automation experience with positive impacts for users.

Responsibilities

  • Design, develop and improve systems for team use, promoting self-service.
  • Automate complex processes, reducing manual activities.
  • Mentor team members to enhance system maintenance skills.

Skills

Automated Systems
Linux
TCP/IP Networking
Go
Python
Bash
CI/CD
Collaboration
Job description

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role

The Shared Engineering team at XTX Markets develop systems and infrastructure which the rest of the firm relies on. Our aim to is to produce robust tools and services so that other teams can help themselves use them with minimal oversight.

This software development role is ideal for someone who is interested in solving infrastructure-level problems in the simplest manner possible using concise and efficient code. We develop in Go, but knowledge of this language is not required up-front.

Some examples of the products we develop and maintain are:

  • in-house job scheduling.
  • in-house monitoring.
  • metrics collection and visualisation.
  • in-house network automation and configuration management tooling.
  • Kerberos infrastructure, secrets management, ssh proxy and similar.
  • general purpose Linux build system and our in-house secure Linux distribution.
  • central asset database used by procurement, finance, datacentre operations and others.
  • company-wide monorepo, build and deployment system.

In addition, we operate the traditional infrastructure relied on by other teams, especially post-trade and low-latency OTC trading systems. You can expect to get your hands on servers, network switches and storage systems as well as writing code to manage these elements.

Responsibilities

  • Design, develop and improve our systems which other teams use, promoting re-use and self-service.
  • Reduce manual activities by automating complex processes and systems, some without formal APIs.
  • Mentor other team members, improving their knowledge and making sure they can maintain the systems you develop.
  • Be on-call to troubleshoot problems spanning several technical domains for current and legacy infrastructure. We operated a schedule to ensure responsibilities are even distributed throughout the year between a team of 12.
  • Able to code fluently in a language such as Go or Python and be competent with Bash and C. We estimate someone with about 5 years’ experience would be the right fit but we are open to reviewing a range of experience levels.
  • Expert use of standard development tools/techniques such as git, IDEs and CI/CD.
  • In-depth knowledge of Linux and host-level TCP/IP networking, include protocols such as DNS and DHCP. Working at the CLI should be second nature to you.
  • Demonstrate practical experience of automation, showing how you introduced new applications which had a positive impact and were used by a wider community of users than just your immediate team.
  • Evidence of building excellent relationships with your peers across an organisation.

Some knowledge of these technologies is desirable, but not essential for a successful application:

  • web front end development (TypeScript, React).
  • containerisation/virtualisation technologies such as Docker, Podman and KVM.
  • observability infrastructure, e.g. Victoria Metrics, Prometheus, Grafana.
  • configuration management using Terraform, Bash, Python or similar tools.
  • hands-on networks and associated technology (e.g. STP, BGP, OSPF, MPLS).
  • working knowledge of hardware (out of band management for servers, NetApps, console servers, network switches, etc.).
  • knowledge of low-latency trading systems, particularly with regards to counterparty connectivity and precise timing infrastructure.
  • Onsite gym, sauna, and fitness classes at no charge.
  • Extensive medical benefits including an on-site doctor and therapist at no charge.
  • Breakfast and lunch provided daily.
  • Various supports for caregivers, including emergency dependent care.
  • 25 days paid holiday per year + statutory holiday and paid sick days.
  • Generous Pension contributions.
  • We work 4 days per week in the office, 1 from home unless stated otherwise.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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