Join Granica’s core engineering team to build and scale the infrastructure powering massive data systems, automated deployments, and high‑reliability AI workloads. This is a deep engineering role — not ops, not feature delivery. The infrastructure you build directly enables:

• exabyte‑scale data systems

• fast research‑to‑production cycles

• reliable enterprise AI workloads

This role offers deep ownership, high technical impact, and a long horizon.

What You’ll Do-

• 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.

What We're Looking For-

• 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.

Nice-to-Haves:

• Experience with data platforms or lakehouse systems

• Familiarity with Spark, Trino, Iceberg, Delta, Airflow

• Exposure to observability stacks (Prometheus, Grafana, ELK, Datadog)

Compensation & Benefits

• 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

At Granica, you'll help build the next generation of enterprise AI—fromexabyte-scale data infrastructure,Large Tabular Models (LTMs), andstateful AI agents. Together, we're creating the infrastructure that enables enterprises toown their data,own the intelligence built on it, andscale both efficiently.