Integration Engineer

Cubiq Recruitment; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Cubiq Recruitment seeks a Platform/DevOps Engineer to own end-to-end application delivery on a Kubernetes platform in a highly technical AI-focused environment.

You will deploy, upgrade and manage applications, build CI/CD/GitOps, and integrate with identity and security controls while automating deployments with Python, Bash or Go.

Qualifications

• Hands-on Kubernetes experience is essential.
• Background in platform/DevOps/cloud or infrastructure engineering.
• Ability to automate CI/CD, Terraform and security identity integrations.

Responsibilities

• Deploy, upgrade and manage applications on Kubernetes.
• Build and maintain CI/CD and GitOps workflows.
• Integrate applications with SSO/SAML/OIDC and RBAC.

Skills

Kubernetes

CI/CD

GitOps

SSO/SAML/OIDC

RBAC

Security scanning

Patching/remediation

Runbooks

Python

Bash

Go

Tools

ArgoCD

Flux

GitHub Actions

GitLab CI

Okta

Entra ID

PostgreSQL

MySQL

Redis

Observability tooling

Job description

London | Hybrid (3 days on site

What you’ll be working on:

• Deploying, upgrading and managing applications on Kubernetes
• Building and maintaining CI/CD and GitOps workflows
• Integrating applications with SSO, SAML/OIDC and RBAC
• Implementing container and dependency security scanning
• Managing patching, CVE remediation and application hardening
• Building monitoring, alerting and operational runbooks
• Automating deployment and maintenance using Python, Bash or Go

What we’re looking for:

• Strong hands-on Kubernetes experience is key, alongside a background in platform, DevOps, cloud or infrastructure engineering.
• You’ll ideally have experience across CI/CD, Terraform, application security and identity integration, with the ability to automate rather than rely on manual processes.
• Experience with ArgoCD, Flux, GitHub Actions, GitLab CI, Okta or Entra ID would be useful, as would exposure to PostgreSQL, MySQL, Redis and modern observability tooling.
• This could suit someone currently working as a Platform Engineer, DevOps Engineer, Cloud Platform Engineer, Infrastructure Engineer or SRE who enjoys owning applications end-to-end rather than focusing purely on the underlying infrastructure.
• You’ll be joining a highly technical environment, working alongside engineers and researchers building at the forefront of AI.