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 & Advantages 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.

📌 Software Engineer, Infrastructure (Bengaluru) (India)
🏢 Agilesoft
📍 India