Senior Software Engineer, AI Data

5+ years of professional software engineering experience Strong proficiency in Python and SQL Demonstrated ability to write production-quality code Solid understanding of data structures and algorithms Solid understanding of system design and architectural patterns Solid understanding of testing strategies (unit, integration, end-to-end) Solid understanding of code review practices and technical collaboration Experience with RESTful APIs and distributed systems concepts Experience with containerization (Docker) Experience with basic cloud infrastructure Track record of delivering high-quality software Ability to thrive in a startup environment Experience with GCP services (BigQuery, GCS, Cloud Run, GKE) (Preferred) Familiarity with distributed processing frameworks (Apache Beam, PySpark) (Preferred) Experience with workflow orchestration tools (Airflow, Prefect, Dagster) (Preferred) Understanding of ML/AI infrastructure and data pipelines (Preferred) Experience with monitoring and observability tools (Datadog) (Preferred) Experience working with researchers directly (Preferred) Background in data engineering roles (Preferred)

Architect next-gen AI data infrastructure Design scalable, future-proof data platforms Build efficient self-serve data processing pipelines Implement cost-effective storage and monitoring solutions Create flexible training resource management Optimize resource allocation for training efficiency Participate in on-call rotation Lead adoption of cutting-edge ML tools and frameworks Streamline existing workflows Enhance tooling and documentation Implement guardrails for cost, quality, and performance Identify and eliminate technical bottlenecks