Agilesoft
Website:
agilesoft.it
Job details:
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 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.
Click on Apply to know more.