Platform Engineer

Salary range: up to £50,000

Location: Birmingham

Drivvn is a fast growing B2B SaaS company transforming the automotive industry through cutting edge eCommerce solutions. Founded in 2020 and operating as a wholly owned subsidiary of the TCC Group, Drivvn empowers major automotive brands like Stellantis, Ford, Volvo, and Volkswagen to deliver seamless online vehicle buying experiences. More recently it has entered the vehicle leasing space, working with MHC and Leasys. Its digital retail platform supports every stage of the automotive sales and leasing journey-from vehicle configuration to financing-while enabling real time integration and omnichannel capabilities. The company predominantly operates in Europe, with plans for expansion. Drivvn generated approximately £8 million in revenue for FY24.

As a Platform Engineer, you will be part of our platform engineering team, helping to improve productivity and efficiency through developer tooling, automation, and infrastructure as code. Our platform is cloud native and we use Kubernetes extensively (AKS) to run our applications and services within Azure. You will play a key role in shaping how we leverage AI driven automation, Model Context Protocol (MCP) integrations, and agentic workflows to build self healing, intelligent platform capabilities-while maintaining a strong security first mindset across our multi tenant automotive SaaS platform.

• Work with fellow platform engineers to manage our Azure infrastructure and provision platform resources and services using Infrastructure as Code (Terraform)

• Write automation (using Terraform, Python, Bash, and other scripting languages) to reduce repetitive and manual activities

• Implement and maintain GitOps workflows using ArgoCD for declarative, auditable deployments

• Support product engineering teams with core platform tooling (CI/CD pipelines via Azure DevOps) and cross cutting functionality such as logging, alerting, and observability

• Champion security by design principles across all platform components, including container security, network policies, and secrets management

• Implement and maintain security controls for our multi tenant AKS clusters, including RBAC, pod security standards, and network segmentation

• Support vulnerability management, penetration testing remediation, and security patching processes

• Ensure compliance with industry security standards and participate in security audits

• Implement secure CI/CD practices including image scanning, SBOM generation, and supply chain security

• Operate our platform by responding to alerts and using runbooks to efficiently restore service

• Build and maintain comprehensive observability across our multi brand automotive infrastructure using Prometheus, Grafana, Loki, and distributed tracing

• Identify issues and areas for improvement to establish a culture of production excellence

• Contribute to incident response and post incident reviews to continuously improve platform reliability

• Experience working within a cloud native platform with practical knowledge of Kubernetes and Azure services (AKS, Azure AD, Key Vault, Azure Monitor)

• Solid understanding of Infrastructure as Code using Terraform, including module development and state management

• Core platform engineering skills: Git version control, Linux administration, shell scripting (Bash), and at least one programming language (Python preferred)

• Appreciation of DevOps and GitOps principles with hands on experience in CI/CD pipelines and tools like ArgoCD, Azure DevOps, or similar

• Strong understanding of security best practices for cloud native environments, including container security, network policies, and secrets management

• Logical mindset with the ability to troubleshoot problems and proactively find solutions to restore service and prevent reoccurrence

• Ability to collaborate with technical peers, communicate complex ideas clearly, and agree on optimal solutions

• Experience with AI/ML tooling and patterns, including familiarity with LLMs, prompt engineering, or AI assisted development tools

• Understanding of the Model Context Protocol (MCP) and experience building integrations that connect AI agents to infrastructure tools

• Experience with observability platforms (Grafana, Prometheus, Loki, Sentry) and implementing alerting strategies

• Knowledge of security scanning tools (Snyk, Trivy, Microsoft Defender for Containers) and DevSecOps practices

• Experience supporting microservices architectures in a multi tenant SaaS environment

• Familiarity with Helm charts, Kustomize, and Kubernetes operators

• Any relevant certifications: CKA/CKAD, Azure certifications, HashiCorp Terraform Associate

• A positive, proactive, and energetic attitude to help us transform the digital automotive buying experience

• Keen to learn and develop by progressing in a fast moving tech company

• Curious about emerging technologies, particularly AI driven platform capabilities

• Security conscious mindset with attention to detail

• Comfortable working in a collaborative, agile environment

We'll let you know if you're invited to an interview or not. But, as a small team with a lot of applications to consider, we can't give individual feedback on each application.