[Hiring] Software Engineer, Infrastructure @Granica

Role Description

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.

Qualifications

• 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

Requirements

• Experience with data platforms or lakehouse systems (Nice-to-Haves)
• Familiarity with Spark, Trino, Iceberg, Delta, Airflow (Nice-to-Haves)
• Exposure to observability stacks (Prometheus, Grafana, ELK, Datadog) (Nice-to-Haves)

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