platform engineer

The company is building an AI-first software layer for modern manufacturing, combining AI systems, complex video processing, and cloud infrastructure.

• Design, build, and maintain scalable cloud infrastructure on AWS using Terraform;
• Manage, scale, and troubleshoot Kubernetes clusters supporting intensive GPU workloads and streaming data and video processing systems;
• Own and optimize CI/CD pipelines for fast, safe, automated deployments;
• Build monitoring, logging, and alerting with Prometheus and other observability tools for full system visibility;
• Configure, secure, and optimize CDN infrastructure using CloudFront, Fastly, or Cloudflare for low-latency data delivery;
• Improve daily developer experience through clean workflows, automation, and debugging tools for software and data science teams.

• 8–10 Years of experience in DevOps, SRE, or platform engineering;
• Deep production expertise in AWS and infrastructure-as-code workflows with Terraform;
• Proven experience managing and scaling Kubernetes in production;
• Strong Linux system administration, networking, storage, and configuration management fundamentals;
• Experience with PostgreSQL, MySQL, and time-series databases such as TimescaleDB;
• Comfortable collaborating with remote engineering and data science peers;
• Able to work with high autonomy, proactively address infrastructure bottlenecks, and collaborate closely across teams;
• Nice to have: CloudFront, Fastly, Cloudflare, Prometheus, GPU workloads, streaming video pipelines, MLOps.

• Flexible schedule with the ability to set start and end times;
• Collaborative decision-making with experienced staff-level engineering peers;
• Direct access to the Head of Software and CTO;
• Urban Sports Club membership;
• Quarterly team retreats.