Mid-Level Platform Engineer (Kubernetes)

Reposted 5 Days Ago
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Cambridge, Cambridgeshire, England, GBR
In-Office
Mid level
Security • Cybersecurity
The Role
Design, build, and maintain foundational infrastructure for software development, focusing on cloud applications and container orchestration, while supporting development teams.
Summary Generated by Built In

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.  

Job Description:

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.

 

What will I be doing:

 

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:

 

  • Collaborating with development teams to ensure infrastructure meets their requirements while promoting scalable, cloud-native application practices,
  • Operating and improving Kubernetes clusters day-to-day, with a focus on reliability, observability, and performance,
  • Building and maintaining CI/CD pipelines to accelerate software delivery,
  • Driving infrastructure-as-code practices using tools like Terraform or CloudFormation,
  • Staying current with the cloud-native ecosystem, introducing pragmatic solutions to the team, and addressing operational challenges through automation,
  • Embedding security into platform design and coaching other teams on best practices,
  • Designing solutions and services with security controls engineered to mitigate threats,
  • Managing service components to ensure they meet business needs and key performance indicators,
  • Liaising with other team members to coordinate changes across components

What experience do I need:

 

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.

 

Additional qualifications include:

 

  • Experience with continuous integration systems such as GitHub Actions, GitLab CI, and Jenkins,
  • Proficiency in working with source control systems,
  • Strong communication and interpersonal skills, with fluency in English both in written and verbal forms.

 

Nice to have:

 

  • Scripting or programming ability (Python, Bash, Go, or similar) — useful for building tooling and automation but not a prerequisite,
  • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry),
  • Familiarity with service mesh, GitOps workflows, or platform-as-a-product thinking.

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.

Skills Required

  • Experience with Kubernetes and cloud-native tools
  • Proficiency in Python
  • Familiarity with Terraform and CloudFormation
  • Understanding of networking and security principles
  • Experience with continuous integration systems

Darktrace Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Darktrace and has not been reviewed or approved by Darktrace.

  • Healthcare Strength Healthcare coverage is considered strong in the U.S., with employer-paid medical, dental, and vision noted alongside good networks. Plan quality stands out as a core strength of the package.
  • Leave & Time Off Breadth Time off typically includes around 20–21 days of PTO plus paid holidays, with mentions of an additional birthday day. Parental and family leave are also described as part of the offering.
  • Affordable Benefits Employer-paid health coverage for employees—often extended to dependents—reduces premium costs. This makes core medical benefits more financially accessible.

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The Company
Atlanta, GA
1,763 Employees
Year Founded: 2013

What We Do

Darktrace, a global leader in cyber security AI, delivers world-class technology that protects over 5,500 customers worldwide from advanced threats, including ransomware and cloud and SaaS attacks. The company’s fundamentally different approach applies Self-Learning AI to enable machines to understand the business in order to autonomously defend it. Headquartered in Cambridge, UK, the company has 1,500 employees and over 30 offices worldwide. Darktrace was named one of TIME magazine’s ‘Most Influential Companies’ for 2021.

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