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:

You will join the dedicated R&D teams in Cambridge that create and improve the products behind the company’s rapid growth. Our software engineers work across a wide variety of projects and with a diverse toolset, as part of the cloud security team, you will be responsible for developing integrations with cloud providers and technologies such as AWS, Azure and Kubernetes to find out what asset’s clients have deployed in their cloud, how these are connected, and which are vulnerable to attack. This data is then used to help clients understand their cloud environment and how best to protect it.

As a Senior Python Engineer within the Cloud Security team, your role will be responsible for, but not limited to:

  • Contributing to rapid prototyping of new and innovative ideas to further improve Darktrace’s services and offerings,
  • Improving the performance and competencies of existing products and platforms,
  • Investigating and furthering our unique methodology in defending against unknown cyber-attacks.

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

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

To find out more about our world-class products and wider business, please consult our website www.darktrace.com

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:

  • As a senior engineer you will have the ability to lead features from conception to deployment,
  • Successfully prioritise how work fits into wider team progress, as well as solving immediate challenges,
  • Comfortable working autonomously and taking independent decisions as well as having the ability to work cooperatively within a team,
  • Able to show knowledge or interest in cyber-security / malware forensics,
  • Experienced with statistical analysis of static or dynamic systems,
  • Familiar with Docker,
  • Knowledgeable about cloud computing environments would be beneficial.

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

Benefits:

  • 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

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Darktrace is an equal opportunities employer and is committed to ensuring Darktrace is the best place for everyone, regardless of background, to build their career. We invite applicants to share their demographic background. This is an entirely voluntary aspect of the process and whether you choose to provide the data or not will have no bearing on your chances of success in the recruitment process and equally any demographic data that you do provide will have no bearing on your chances of success in the recruitment process. This information will not be available to hiring managers during the recruitment process.

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