You have been paged before, and you have the scars and the runbooks to show for it. You have designed and operated data warehouse architecture at TB+ scale, including partitioning, cost optimization, and query performance tuning. You have built and operated distributed data pipelines at meaningful scale, with frameworks like Spark, Kafka, or Flink, and orchestration tools like Airflow or Prefect. You write production-grade Python (or Java/Scala) daily, building services and libraries rather than scripts, clean enough that the next person never has to send you a strongly worded Slack message. Strong CS fundamentals are assumed: data structures, algorithms, concurrency, and distributed systems design. SQL is table stakes. You excel at complex system integration and have a proven track record of leading technical initiatives and mentoring other engineers. Working with AI We build with AI, not just alongside it. Agents write real code here: engineers direct them, review their output, and own what ships. You'll also build AI systems yourself, including our new agentic BI solution. Expect to design pipelines that agents can operate, and to write the evals and guardrails that make them trustworthy. The question is not whether you use AI, it's how much leverage you can safely get from it, while staying on budget. If your idea of fun involves benchmarking two orchestration tools just to see which one cries first, we should talk! Equal opportunities At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.
