Job Overview
Location
India- Bengaluru
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Design and operate cloud infrastructure supporting petabyte-to-exabyte-scale data systems for enterprise AI workloads.
- • Manage and evolve production-grade Kubernetes clusters with high availability and predictable scaling across multi-cloud environments.
- • Build and optimize CI/CD pipelines to enable faster builds, reliable testing, and safer deployments for engineering teams.
- • Improve developer experience by automating workflows and reducing operational friction in the software delivery lifecycle.
- • Contribute to end-to-end testing and release-confidence systems to ensure system reliability and deployment integrity.
- • Strengthen observability across logging, metrics, tracing, and alerting to proactively identify and resolve infrastructure issues.
- • Collaborate with cross-functional engineering teams on architecture decisions, scalability challenges, and reliability improvements.
- • Own customer-facing technical integrations by guiding deployments, troubleshooting infrastructure-level issues in customer environments, and ensuring Granica’s systems operate reliably within diverse cloud, data, and security stacks.
- • Drive operational excellence through automation, reliability engineering, and adoption of industry best practices.
- • Build and maintain infrastructure-as-code using Terraform to ensure consistent, repeatable, and auditable cloud resource provisioning.
- • Debug complex, cross-layer issues spanning networking, storage, runtime environments, and distributed systems.
- • Design scalable, reliable, and cost-efficient systems that support rapid research-to-production cycles for AI workloads.
- • Enable high-reliability enterprise AI workloads by ensuring infrastructure resilience, performance, and security compliance.
- • Contribute to the evolution of foundational data systems that power the future of enterprise artificial intelligence.
🎯 Requirements
- • 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)
🏖️ Benefits
- • 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Granica Inc.
Granica builds an AI efficiency platform that compresses and secures petabyte-scale training data for cloud object stores. Its byte-granular deduplication and privacy filtering shrink S3 and GCS footprints, cutting storage and transfer costs while boosting downstream model accuracy. Designed for data scientists and MLOps teams, the service deploys as a transparent sidecar proxy, enforcing differential privacy and access policies without code changes. Founded in 2022 and headquartered in Palo Alto, the company targets enterprises running computer-vision and NLP workloads that need cheaper, safer data pipelines.
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