We9re looking for a Senior Data Platform Engineer to help build Monaco9s data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You9ll work on the foundation that makes models, agents, and workflows actually useful in production.
This is a high-ownership role at the intersection of data engineering, distributed systems, and applied AI.
What you9ll do:- Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.
- Support ML workflows: training data, evaluation, embeddings, feature pipelines.
- Solve distributed systems challenges around reliability, latency, consistency, and scale.
- Improve observability, tooling, and developer experience for data, ML, and agent systems.
What we9re looking for:- 5+ years building data platforms, ML infrastructure, or backend systems.
- Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or Turbopuffer, Kafka, Spark, Databricks or Snowflake, etc.
- Ability to lead major architecture decisions and execute on them fast, maintain and scale production systems through rapid workload growth.
Location:- San Francisco. We9re an in-person team - 5 days in the office. At this stage, proximity genuinely accelerates product quality and team cohesion.
