
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🔒 Cybersecurity
Artificial Intelligence • SaaS • Cybersecurity
Granica is a company that specializes in optimizing data for artificial intelligence applications. They offer a comprehensive AI data readiness platform designed to build and manage high quality data that powers safe, efficient, and effective AI at scale. Granica provides solutions like Crunch, which optimizes data storage and processing, Screen, which ensures data privacy and security, and Signal, which selects and refines data for AI training. They focus on reducing data storage and compute costs while enhancing AI development and data pipeline efficiency. Granica also emphasizes ethical AI governance, data encryption, and bias detection, catering to various industries such as financial services, e-commerce, and robotics.
🔥 0 minutes ago
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11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🔒 Cybersecurity
Artificial Intelligence • SaaS • Cybersecurity
Granica is a company that specializes in optimizing data for artificial intelligence applications. They offer a comprehensive AI data readiness platform designed to build and manage high quality data that powers safe, efficient, and effective AI at scale. Granica provides solutions like Crunch, which optimizes data storage and processing, Screen, which ensures data privacy and security, and Signal, which selects and refines data for AI training. They focus on reducing data storage and compute costs while enhancing AI development and data pipeline efficiency. Granica also emphasizes ethical AI governance, data encryption, and bias detection, catering to various industries such as financial services, e-commerce, and robotics.
• 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.
• 5+ years in infrastructure, platform, or distributed systems engineering • Strong coding skills in Go, Java, Python, or similar • Production‑grade Kubernetes experience with strong cloud and containerization skills across AWS/GCP/Azure and Docker. • Deep experience with CI/CD systems and cloud infrastructure • Proficiency with infrastructure‑as‑code (Terraform) • Ability to debug complex, cross‑layer issues (networking, storage, runtime) • Track record of designing scalable, reliable, cost‑efficient systems • Thrives in fast‑paced startup environments with strong communication and ownership.
• Competitive salary, meaningful equity, and performance bonus for top performers • 401(k) with company match, comprehensive health coverage, and unlimited PTO • Daily catered meals in our Mountain View office • Support for research, publication, and conference participation
Apply Now🕒 2 days ago
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