My client is a fast growing B2B AI startup building intelligent products that help enterprises automate complex decisions at scale. Their platform is already trusted by leading customers and they are now entering a phase of rapid technical and commercial growth.
You will join a highly technical, product driven team where engineering quality, ownership, and autonomy matter. This is an opportunity to shape the infrastructure foundations of an AI company from the inside and have a direct impact on how the business scales.
What You Will Do
- Design, build, and maintain scalable cloud infrastructure on Google Cloud Platform
- Own infrastructure as code using Terraform across environments
- Design and maintain robust network architecture including VPCs, IAM, security boundaries, and connectivity
- Build and improve CI CD pipelines for reliable and fast deployments
- Partner closely with software and ML engineers to support model deployment and production workloads
- Monitor system performance, reliability, and cost efficiency and continuously improve them
- Take ownership of security, availability, and disaster recovery strategies
- Influence DevOps standards and tooling as the company grows
What My Client Is Looking For
- Strong experience as a DevOps or Platform Engineer in a cloud native environment
- Hands on expertise with Google Cloud Platform in production
- Deep experience using Terraform for infrastructure as code
- Solid understanding of cloud network architecture and security best practices
- Experience supporting containerized workloads and modern deployment patterns
- Comfort working in a startup environment with ambiguity and ownership
- Ability to work independently and proactively drive improvements
Nice to Have
- Experience supporting AI or data intensive platforms
- Familiarity with Kubernetes and container orchestration
- Exposure to observability, monitoring, and alerting tools
- Previous experience in high growth startups or scale ups
Why Join My Client
- Real ownership and autonomy over critical infrastructure decisions
- Direct impact on a production AI platform used by real customers
- Opportunity to shape DevOps practices from an early stage
- Hybrid working model with a strong Berlin based engineering culture
- Competitive compensation and meaningful growth opportunities
- A team that values engineering excellence, transparency, and trust.