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

• exabytescale data systems

• fast researchtoproduction 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-exabytescale 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 releaseconfidence systems.

• Strengthen observability across logging, metrics, tracing, and alerting.

• Collaborate across engineering teams on architecture, reliability, and scaling challenges.

• Own customerfacing technical integration - guide deployments, troubleshoot infralevel 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

• Productiongrade 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 infrastructureascode (Terraform)

• Ability to debug complex, crosslayer issues (networking, storage, runtime)

• Track record of designing scalable, reliable, costefficient systems

• Thrives in fastpaced 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-from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. Together, we're creating the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.