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 substantial bonus for top performers

• Flexible time off plus comprehensive health coverage for you and your family

• Support for research, publication, and deep technical exploration

At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!