Platform Engineer

We're driven by our passion to create the most seamless online sales experience. No more broken journeys. No more frustrated customers. Using our innovative cloud technology platform, we work tirelessly to improve every touchpoint of the digital buying experience. Empowering our clients to embrace ecommerce. Supporting them every step of the way, turning prospects into customers. It's what drives us. We are drivvn.

The automotive industry is undergoing one of the largest transformations in its history. OEMs are focusing on the switch to electrification, increasing revenue from connected car software services, and moving from a traditional manufacturing mindset to a consumer-centric mindset powered by technology at the core. Drivvn is at the forefront of this change and is helping OEMs rapidly embrace the move to a direct, digital sales model using its cloud-native platform.

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 Git Ops workflows using ArgoCD for declarative, auditable deployments
• Support product engineering teams with core platform tooling (CI/CD pipelines via Azure Dev Ops) 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 Dev Ops and Git Ops principles with hands-on experience in CI/CD pipelines and tools like ArgoCD, Azure Dev Ops, 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,…