Platform Engineer - Kubernetes & Automation (R&D)

Darktrace; Cambridge; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

23 days’ holiday

Public holidays

Birthday day off

Private medical insurance

Life insurance 4x base salary

Salary sacrifice pension scheme

Enhanced family leave

Confidential Employee Assistance Plan

Cycle to work

Job summary

Darktrace seeks a Specialist Platform Engineer in R&D to design, build, and maintain foundational infrastructure, tooling and automation enabling product teams to develop software efficiently.

You will collaborate with development teams to ensure scalable, reliable deployments, leveraging container orchestration and automation, while improving observability and security across the platform.

Qualifications

• Proficiency in Python and scripting for automation.
• Experience with IaC and provisioning tools (Terraform, CloudFormation).
• Understanding of networking and security principles essential.
• Experience with CI/CD tools: GitHub Actions, GitLab CI, Jenkins.

Responsibilities

• Collaborate with development teams to ensure scalable infrastructure.
• Utilize container orchestration knowledge to deploy reliable apps.
• Drive automation to improve performance and observability.
• Adapt development approaches to business needs and pressures.
• Promote security practices and educate users on best practices.
• Support activities to improve development processes and metrics.
• Design solutions with integrated security controls.
• Manage service components to meet KPIs and business needs.
• Coordinate changes across teams and components.

Skills

Python

IaC

Terraform

CloudFormation

CI/CD

GitHub Actions

GitLab CI

Jenkins

Networking

Security basics

English fluency

Job description

Darktrace seeks a Specialist Platform Engineer in R&D to design, build, and maintain foundational infrastructure, tooling and automation enabling product teams to develop software efficiently.

You will collaborate with development teams to ensure scalable, reliable deployments, leveraging container orchestration and automation, while improving observability and security across the platform.