Remote
Software Engineer, AI
About this role
About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us.
We’re seeking a Software Engineer, AI to join our team! What You’ll Do: Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance. Design and build server-side APIs that authenticate users, accept and manage backups, handle large-scale data operations, and prepare restored data for customers across our global user base. Collaborate with Product, QA, and Support teams to ensure both backend features reflect real customer workflows and usage patterns.
Build and maintain support tooling to help diagnose and resolve customer issues at scale. Ensure all code and open source assets meet high standards for testing, documentation, reproducibility, and developer usability. Tools and Technologies AI coding agents such as Claude Code, Cursor, Codex, and Antigravity Languages: Python, TypeScript, Go, JavaScript, Java (and other languages common in the open source ecosystem) Backblaze B2 SDKs and REST APIs Open source AI frameworks and tooling (e.g.
LangChain, LlamaIndex, vector databases) SQL and NoSQL backend development (experience with large-scale distributed databases a plus) GitHub, pytest, CI/CD pipelines Large-scale server infrastructure (Linux, cross-platform awareness) The Right Fit: 2+ years of backend software engineering experience, ideally on systems that serve millions of users across multiple platforms. Proficiency in one or more backend languages (Java, Python, TypeScript, or similar); comfortable picking up new languages as needed.
Practical understanding of AI workflows — data ingestion, preprocessing, inference, and agent-based orchestration. Experience building or working with large-scale APIs and distributed storage or data systems. Production-quality coding habits: rigorous testing, clear documentation, and attention to security and performance. Customer-focused mindset — you think about the developer and end-user experience in everything you build.