Founded by mathematicians and cyber defense experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber disruption. We protect more than 9,000 customers from the world’s most complex threats, including ransomware, cloud, and SaaS attacks.

Our roots lie deep in innovation. The Darktrace AI Research Centre based in our Cambridge, UK headquarters, has conducted research establishing new thresholds in cyber security, with technology innovations backed by over 130 patents and pending applications.

For more information on our cutting-edge technology, visit darktrace.com.

What will I be doing:

The AI Analysis team focuses on a range of products and software which aim to automate the human analysis process, including the Cyber AI Analyst, as well as a number of other products and the data and infrastructure to support them. Members of the team typically work in one or more areas including Python development, security research and analysis, machine learning research, and cloud architecture.

This is a hybrid role, and the expectation would be to work at least 2 days a week in the Cambridge office.

As a Cloud Engineer within AI Analysis team, responsibilities include, but not limited to:

• Contributing to rapid prototyping of new and innovative ideas to further improve Darktrace’s services and offerings,
• Developing, managing, configuring, and automating systems and services in cloud environments (AWS, Azure, GCP).

Innovation is of paramount importance and as such, creativity in approach is encouraged as much as traditional project-based development.

What experience do I need:

We welcome applications from engineers who have a solution focused mindset combined with an analytical approach and problem-solving skills. During the interview process you’ll be able to demonstrate your ability to program using Python and will show an understanding of writing code in a production environment. Additionally, it’s likely that you’ll be:

• Comfortable working autonomously and taking independent decisions as well as having the ability to work cooperatively within a team,
• Knowledge of key features of Cloud Service Providers,
• Ability to code to implement essential security measures,
• Skills in writing, correcting, and debugging code modules,
• Familiar with Docker.

Experience of working with a range of other programming languages such as JavaScript, Go or Rust would also be beneficial but isn’t essential.

Benefits we offer:

• 23 days’ holiday + all public holidays, rising to 25 days after 2 years of service,
• Additional day off for your birthday,
• Private medical insurance which covers you, your cohabiting partner and children,
• Life insurance of 4 times your base salary,
• Salary sacrifice pension scheme,
• Enhanced family leave,
• Confidential Employee Assistance Program,
• Cycle to work scheme.

#LI-Hybrid