Job Title: Senior Software Engineer (Data Platform)
Salary: $200k - $280k + Generous Equity
Location: San Francisco, CA (5-days Onsite)
Responsibilities:
- Design, build, and maintain distributed data systems supporting scientific and machine learning workflows.
- Own and scale data pipelines used for ingesting, processing, storing, and serving large volumes of complex datasets.
- Collaborate with cross-functional research teams to develop APIs and LLM-powered data processing pipelines.
- Ensure reliability and accuracy of systems through testing, monitoring, and observability tools.
Requirements:
- Strong coding skills in Python, with experience in one or more distributed computing frameworks (e.g., Kubernetes, Slurm, Ray, Daft, Dask, Spark).
- Demonstrated experience managing large-scale data systems (terabyte or petabyte scale).
- DevOps proficiency, including CI/CD, infrastructure-as-code, and experience across major cloud platforms (AWS, GCP, Azure).
- Comfortable taking full ownership of data infrastructure, from architecture to deployment.
- Excited to work in fast-paced, research-driven environments.
- Bonus: Led or contributed significantly to large-scale, high-throughput data infrastructure projects.
- Bonus: Built data systems integrated with AI/LLM tools, especially for scientific, research, or information retrieval use cases.
- Bonus: Worked at early-stage startups where agility, impact, and cross-functional collaboration were key.
Benefits:
- Fully Covered Medical, Dental, and Vision Insurance
- Paid Time Off
- Parental Leave
- Free Lunches
- Team Building Events
- Collaborative Team environment
If you are interested in learning more about this position or any other roles we may have open, please apply today!
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they deserve. Building a diverse future, one placement at a time.