Software Engineer, Infrastructure

Job not on LinkedIn

🕒 July 19

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Granica

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🔒 Cybersecurity

Artificial Intelligence • SaaS • Cybersecurity

Granica is a company that specializes in optimizing data for artificial intelligence applications. They offer a comprehensive AI data readiness platform designed to build and manage high quality data that powers safe, efficient, and effective AI at scale. Granica provides solutions like Crunch, which optimizes data storage and processing, Screen, which ensures data privacy and security, and Signal, which selects and refines data for AI training. They focus on reducing data storage and compute costs while enhancing AI development and data pipeline efficiency. Granica also emphasizes ethical AI governance, data encryption, and bias detection, catering to various industries such as financial services, e-commerce, and robotics.

📋 Description

• 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 infrastructure-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 • Build infrastructure enabling enterprise AI, exabyte-scale data infrastructure, Large Tabular Models, and stateful AI agents

🎯 Requirements

• 5+ years in infrastructure, platform, or distributed systems engineering • Strong coding skills in Go, Java, Python, or similar • Production-grade Kubernetes experience • 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 • Strong communication and ownership • Experience with data platforms or lakehouse systems (nice-to-have) • Familiarity with Spark, Trino, Iceberg, Delta, Airflow (nice-to-have) • Exposure to observability stacks including Prometheus, Grafana, ELK, and Datadog (nice-to-have)

🏖️ Benefits

• Competitive salary • meaningful equity • performance bonus for top performers • 401(k) with company match • comprehensive health coverage • unlimited PTO • Daily catered meals in our Mountain View office • Support for research, publication, and conference participation