Granica

Infrastructure Engineer

• Design and operate cloud infrastructure supporting petabyte–exabyte‑scale systems.
• Manage and evolve production Kubernetes clusters with high availability and predictable scaling.
• Build and optimize CI/CD pipelines for faster builds, reliable tests, and safer deployments.
• Improve developer experience by reducing friction and automating workflows.
• Contribute to E2E testing and release‑confidence systems.
• Strengthen observability across logging, metrics, tracing, and alerting.
• Collaborate across engineering teams on architecture, reliability, and scaling challenges.
• Own customer‑facing technical integration — guide deployments, troubleshoot infra‑level issues in customer environments, and ensure Granica runs reliably within diverse cloud, data, and security stacks.
• Drive operational excellence through reliability, automation, and best practices.

Software Engineer, Infrastructure

Research Scientist

• Develop novel diffusion models and generative learning algorithms.
• Research new representation learning techniques for Large Tabular Models.
• Design efficient training methods for large-scale generative models.
• Prototype and evaluate new generative modeling approaches.
• Design rigorous experiments and benchmarks to measure model quality and efficiency.
• Collaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems.

Software Engineer, Infrastructure

Research Scientist – Diffusion Models