Platform Engineer (AI Startup)

Own and evolve infrastructure with a focus on developer experience and hands-on work with AI systems. You'll keep systems running smoothly and help the team ship with confidence.

What you'll do

• Design and maintain cloud infrastructure on AWS using Terraform
• Own and improve CI/CD pipelines for fast, safe deployments
• Manage and scale Kubernetes clusters
• Improve developer experience — making it easy for teams to ship and debug
• Implement monitoring, logging and alerting for full observability
• Configure and optimise CDN infrastructure

What you'll need

• 8-10 years of experience in DevOps, SRE or platform engineering roles
• Expertise in AWS
• Proficient with Terraform and infrastructure-as-code workflows
• Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)
• Solid understanding of Kubernetes — deployment, networking, scaling and troubleshooting
• Strong sysadmin fundamentals — Linux, networking, storage and configuration management
• Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)
• A clear communicator who works well across engineering and data science teams

Nice to have

• Experience supporting ML infrastructure — model deployment, GPU workloads or training pipelines
• Background in CDN configuration (CloudFront, Fastly, Cloudflare)
• Familiarity with streaming data or video processing systems
• Interest in MLOps and bridging the gap between ML research and production

What they offer

• Employee Share Options Program for all permanent employees
• Benefits including Urban Sports club and quarterly team retreats
• Hands-on experience working in an AI-first software company
• Flat hierarchy, open feedback, and flexible working hours
• Diverse team of 10+ nationalities working on cutting-edge projects with real-world impact