S3-compatible cloud object storage and endpoint backup for AI workloads
Backblaze runs S3-compatible object storage and computer backup on a polyglot stack of Java, Go, C++, Rust and Python, with MySQL scaled through Vitess and Prometheus/Grafana for monitoring. Hiring leans heavily senior and toward engineering and security, with AI-driven vulnerability remediation, agentic AI safeguards and Gemini and Cursor adoption pointing to AI entering both the product and the engineering workflow.
Notable leadership hires: Growth Marketing Director, Director of Commercial and Legal Affairs
Backblaze is a public cloud storage company headquartered in San Mateo, California, founded in 2007, with 201–500 employees. Its product line covers high-throughput object storage for AI and GPU workloads, white-label storage for neocloud platforms, S3-compatible B2 Cloud Storage, and continuous endpoint backup for Macs and PCs. Customers include AI infrastructure providers, neoclouds and data-intensive businesses, alongside individual and business backup users. The company reports more than 500,000 customers across 175 countries and trades on Nasdaq under BLZE. It hires across the United States and Latin America, including Costa Rica, Colombia, Mexico and Argentina.
Backblaze uses Java, Go, C++, Rust, Python, TypeScript and Node.js, with MySQL, Vitess and SQLite for data, Prometheus, Grafana and OpenSearch for observability, and LangChain and LlamaIndex for AI work.
Backblaze hires in the United States and across Latin America, including Costa Rica, Colombia, Mexico and Argentina. Most openings are senior-level, with engineering and security leading.
Current work centers on the B2 object storage platform and its APIs, internal observability tooling, security automation, AI-driven vulnerability remediation, agentic AI safeguards and a product-led growth motion.
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Backblaze's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.