Platform Engineer (AWS)

Voice is becoming the primary interface for technology. For the first time in history, we can use natural language to control and interact with our devices, services, and applications, and we're only at the beginning of the adoption of Voice and Physical AI across industries. Current voice interactions, however, still lack a fundamental human skill: nuanced understanding of audio scenes and environments. Navigating complex auditory scenes, distinguishing between multiple voices, or focusing on a main speaker are all part of the challenge of "teaching machines to hear like human beings." At ai-coustics, we're building the audio intelligence layer and developer tooling to enable more robust and intelligent voice agents and Physical AI applications. Today, Voice AI companies like Perplexity, PolyAI, LiveKit, AssemblyAI or Telli use our SDK to prepare their agents for real-world acoustic challenges. Our models power thousands of agents worldwide and process millions of hours each month. We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure. These partners share our vision and are helping us build a world-class team operating with high levels of responsibility and velocity. We look for people who take ownership, think systemically, and want to solve challenging real-world problems in close collaboration with our customers. Role overview We're looking for a Platform Engineer to own our cloud infrastructure on AWS. Our SDK runs on customers' devices and servers, and every session talks to our platform: EKS clusters, Aurora Postgres, ElastiCache, CloudFront, Temporal, all managed with Terraform and GitOps. You will be the single accountable owner of this platform: its reliability, security, cost and the deployment pipelines the engineering teams rely on. Security controls, access management and evidence are part of the job. You report to the CTO and work daily with the backend lead and our IT operations engineer. ** Tasks** Own the AWS infrastructure end to end: Terraform, multi-account setup, networking, IAM, EKS, databases, CDN Run the Kubernetes stack: service mesh, certificates, secrets management, autoscaling, upgrades Own observability for the platform: metrics, logs, alerting and the dashboards teams operate from Build and maintain the CI/CD pipelines and deploy roles for our backend and frontend services Implement and maintain the technical controls for SOC 2 and keep the evidence current Plan capacity for continued fast growth and own platform cost Be on-call for the infrastructure, write runbooks and run incident reviews ** Requirements** 5+ years running production infrastructure on AWS with Terraform Deep EKS experience: node pools, autoscaling, networking and IP planning, upgrades, workload placement Certified Kubernetes Administrator (CKA) or AWS Certified CloudOps Engineer – A