> Markdown version of [/jobs/ext/4629044-distributed-systems-ai-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/4629044-distributed-systems-ai-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Distributed Systems & AI Infrastructure Engineer - **Company:** KREA LLC - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Extract Transform Load (ETL), Relational Databases, Software Debugging, Distributed Computing Environment, Distributed Data Store, Distributed Systems, InfiniBand, Python (Programming Language), Machine Learning, NumPy, Remote Direct Memory Access, SQL Databases, Data Streaming, AI Infrastructure, Pytorch, Pandas, Containerization, Kubernetes, Apache Kafka - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_ad0910ed351b3fdc33db0b4bb9d96f4d ## About the Role Systems people. If you've read a blog post about InfiniBand debugging or building a custom distributed database and thought "I want to do that" - this is that team. You'll spend your time working heavily with Python, Kubernetes, Torch, and data tools like DuckDB, Arrow, etc. It's OK if you don't have K8s or ML experience - the main thing we hire for is an intuition for distributed systems, and a great mental model of how systems interact and function under different conditions. Strong candidates may have experience with * Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy… * Kubernetes * Designing and implementing large-scale ETL systems * Fundamental knowledge of containerization, operating systems, file-systems, and networking * Distributed systems design * Distributed training systems (NCCL, InfiniBand, RDMA) * Streaming and event processing systems (Kafka, Pulsar, or similar) * PyTorch internals, custom dataloaders, and training infrastructure