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.
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.
Experience with data platforms or lakehouse systems
Familiarity with Spark, Trino, Iceberg, Delta, Airflow
Exposure to observability stacks (Prometheus, Grafana, ELK, Datadog)
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!
Skills Required
- 5+ years in infrastructure, platform, or distributed systems engineering
- Strong coding skills in Go, Java, Python, or similar
- Production-grade Kubernetes experience
- 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
- Track record of designing scalable, reliable, cost-efficient systems
Granica Compensation & Benefits Highlights
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Healthcare Strength — Premium medical, dental, and vision plus mental-health benefits are highlighted, with FSAs also noted. Some materials indicate fully paid employee coverage with substantial dependent support.
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Leave & Time Off Breadth — Unlimited PTO is paired with additional company recharge days and paid time off categories. Feedback suggests guidance such as a recommended multi-week annual target to promote real rest.
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Strong & Reliable Incentives — Quarterly performance bonuses for all roles are highlighted as part of total rewards. This cadence signals regular, performance-linked upside beyond base pay.
Granica Insights
What We Do
Our mission is to remove inefficiency from the foundation of AI. By combining new research in information theory, probabilistic modeling, and distributed systems, we’re creating self-optimizing data infrastructure that continuously improves how information is represented and used by intelligent systems.
Why Work With Us
We’re a tight-knit team combining --> * Fundamental research in compression, data systems, and information theory * World-class systems engineering across storage, infrastructure, and research led by our Chief Scientist & Stanford Prof. Andrea Montanari * A shared obsession with performance, scale, and clean design
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Granica Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
