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.
- Strong written communication skills; you can explain technical decisions clearly to both engineers and non-engineers.
- Good attitude, cross-functional collaboration skills, and a genuine desire to work in a fast-paced environment with evolving requirements.