Granica is pioneering data optimization for large-scale AI and analytics. Our unified platform enables enterprises to dramatically reduce storage and compute costs while accelerating data pipelines - unlocking faster, more efficient access to intelligence at petabyte scale.

At the heart of Granica's mission is the belief that data is the foundation of modern AI. Realizing its full potential requires rethinking how data is managed, moved, and made useful. That's why we bring together world-class talent in AI research, distributed systems, and business to tackle the hardest challenges in data at scale.

Backed by leading investors including NEA and Bain Capital Ventures, Granica is helping the world's most forward-thinking organizations build a smarter, more cost-efficient data layer for the AI era.

About Granica

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information is transformed into usable intelligence.

We’re built to streamline cloud infrastructure, reduce storage and compute costs, and accelerate data pipelines, therefore helping companies turn massive raw datasets into intelligent, usable fuel for AI. In short: we build better data for better AI*.*

Smarter Infrastructure for the AI Era:

We make data efficient, safe, and ready for scale—think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling:

• 60%+ reduction in storage costs and up to 60% lower compute spend
• 3x faster data processing
• 20% platform efficiency gains

Trusted by Industry Leaders

Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms.

A Deep Tech Approach to AI

We’re unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy:

• Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1–2 top-tier papers per quarter.
• Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025.

Backed by the Best

We’ve raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks.

Our Mission

To convert entropy into intelligence, so every builder—human or AI—can make the impossible real.

We’re building the default data substrate for AI, and a generational company built to endure beyond any single product cycle.

Job Summary

We are looking for a SDET (QA Automation Engineer) with hands-on experience in backend testing using Python, and working knowledge of Kubernetes, Apache Spark, and data lake architectures. In this role, you’ll collaborate with engineers across product and platform teams to ensure the quality of services powering our data-driven AI infrastructure.

What You’ll Do

Test Automation

• Design, develop, and maintain automated test scripts using industry-standard tools and frameworks
• Create and execute comprehensive test plans for APIs and big data applications
• Implement automated regression, functional, integration, and performance testing
• Develop and maintain test data management strategies
• Create reusable test components and maintain test automation frameworks

Quality Assurance

• Perform manual testing when required, including exploratory and usability testing
• Identify, document, and track software defects using bug tracking tools
• Collaborate with developers to reproduce and resolve issues
• Conduct root cause analysis for test failures and production issues
• Ensure compliance with quality standards and testing methodologies

Process Improvement

• Integrate automated tests into CI/CD pipelines
• Provide testing estimates and ensure timely delivery of testing milestones
• Continuously evaluate and implement new testing tools and methodologies

What We’re Looking For

Nice-to-Haves

• Background in data infrastructure, machine learning pipelines, or systems programming
• Familiarity with distributed systems concepts (e.g., compression, storage tiering, streaming data)
• Experience working in a startup or fast-paced technical environment
• Experience with Kubernetes, Terraform, or infrastructure as code tools
• Comfort with performance tuning, benchmarking, and systems observability

Why Granica?

• Work hands-on with petabyte-scale datasets, design performant systems and compression algorithms that matter
• Partner with elite engineers from companies like Google, Tesla, and Palantir on complex issues
• Tackle meaningful problems that push the boundaries of what’s possible in data infrastructure and AI

Benefits:

• Highly competitive compensation with uncapped commissions and meaningful equity
• Immigration sponsorship and counseling
• Premium health, dental, and vision coverage
• Flexible remote work and unlimited PTO
• Quarterly recharge days and annual team off-sites
• Budget for learning, development, and conferences

Granica celebrates diversity and is committed to creating an inclusive environment for all employees.

We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.