Lead Software Engineer creating digital infrastructure for renewable energy assets at Arteus. Developing core logic for optimization and defining tech stack with strategic autonomy.
About the role
- Software Engineer developing features for schedule-based processing framework in autonomous transportation company. Collaborating with cross-functional teams to enhance data ingestion and processing scalability.
Responsibilities
- Develop features for the schedule-based processing framework built on top of Airflow, AWS EMR, and DuckDB.
- Improve the stability, performance, and scalability of our data ingestion and processing platforms as we scale our geofence and robotaxi deployment.
- Collaborate with cross-functional teams, such as software engineers, data scientists, data engineers, and TPMs, to gather requirements, design robust architectures, and implement effective solutions.
- Partner with Staff and Senior engineers inside and outside the organization to translate user pain points into concrete technical solutions and roadmap items.
- Enhance system observability by building monitoring and alerting tools to track performance and measure success.
Requirements
- Bachelor's or Master's in Computer Science or related fields with 4+ years of industry experience in software engineering
- Strong background in Python for large-scale data processing
- Familiarity with large-scale data processing systems like Spark, Trino, and DuckDB
- Experience in using cloud services, such as AWS, GCP, or Azure
- Strong experience in troubleshooting data pipeline failures and optimizing pipeline performance and cost efficiency
Benefits
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
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