Software Engineer, Infrastructure

Responsibilities

• 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 and troubleshoot infra-level issues
• Drive operational excellence through reliability, automation, and best practices

Requirements

• 5+ years in infrastructure, platform, or distributed systems engineering
• Strong coding skills in Go, Java, Python, or similar
• Production-grade Kubernetes experience with cloud and containerization skills (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 involving networking, storage, and runtime
• Track record of designing scalable, reliable, and cost-efficient systems
• Ability to thrive in fast-paced startup environments

Preferred Qualifications

• Experience with data platforms or lakehouse systems
• Familiarity with Spark, Trino, Iceberg, Delta, or Airflow
• Exposure to observability stacks such as Prometheus, Grafana, ELK, or Datadog

Benefits

• Competitive salary, meaningful equity, and performance bonus
• 401(k) with company match
• Comprehensive health coverage
• Unlimited PTO
• Support for research, publication, and conference participation

About the Company

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.