Camwebdir
, , United Kingdom / Global
Platform Engineer (Kubernetes)
- £70000
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, , United Kingdom / Global
Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI. The Darktrace Active AI Security Platform™ delivers a proactive approach to cyber resilience to secure the business across the entire digital estate – from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace’s platform and services are supported by over 2,400 employees around the world. To learn more, visit http://www.darktrace.com.
As a Mid-level Platform Engineer in R&D, you'll join the Platform Team to design, build, and maintain the foundational infrastructure, tooling, and automation that product teams rely on to develop and deliver software efficiently. This is a hands‑on role, if you enjoy making developers' lives easier through great tooling, automation, and rock‑solid Kubernetes‑based infrastructure, we'd love to hear from you.
Please note this is a hybrid positions, and would require 2 days per week in the Cambridge office.
As a Mid-level Platform Engineer within the Platform Team, you will be responsible for running and evolving our Kubernetes platform across multiple environments, ensuring applications are deployed reliably at scale. Your deep experience with container orchestration and cloud‑native tooling will be central to everything you do. You will support development teams in optimising their use of public cloud resources and assist with the transition of new applications to production. Additionally, you will be responsible for:
You should have strong Kubernetes experience, at least two years operating, troubleshooting, and scaling clusters in production environments. You should be comfortable with networking, storage, RBAC, and workload scheduling. Familiarity with infrastructure provisioning tools such as Terraform and CloudFormation, along with Infrastructure as Code methodologies, is important. A good understanding of networking and security principles is crucial, as is the ability to solve problems and analyse patterns in behaviour and logs.
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