What are the responsibilities and job description for the Founding Engineer, Cloud Compute position at Isotron AI?
We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible.
We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media.
We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one.
If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk.
We’re looking for a Founding Engineer with deep backend and infrastructure experience to build the foundation of our cloud compute platform. You’ll be responsible for architecting and scaling the systems that power real-time generative workloads for next-gen applications.
What You’ll Do
- Build and maintain our core Python platform, which includes:
- Request routing, AI workload orchestration, GPU resource management.
- Observability, authentication, rate limiting, and more.
- Develop and maintain infrastructure using Terraform, Ansible, and cloud/bare metal provider APIs.
- Own critical systems and tooling: Kubernetes, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed storage, and networking.
- Set the vision and roadmap for our infrastructure stack for the next 1/2/5 years
- 5 years of experience in cloud computing, infrastructure engineering, or DevOps roles.
- Proficiency in cloud platforms (AWS, GCP, Azure) and their associated services (compute, storage, networking).
- Experience with container orchestration systems like Kubernetes, Docker, and serverless architectures.
- Strong knowledge of cloud security best practices and data management strategies.
- Demonstrated ability to optimize cloud resource usage effectively while balancing performance and cost.
- Startup mindset: you thrive in fast-paced environments and take ownership of projects from concept to execution.
- Expertise in cloud platforms and services.
- Experience with infrastructure as code tools (Terraform, CloudFormation).
- Familiarity with CI/CD pipelines and automation of deployment processes.
- Strong troubleshooting skills and ability to implement monitoring and alerting solutions.
- Competitive SF salary and foundational team equity