5 months ago
Base Salary
$182k - $207k/yr
Responsibilities
- Build production backend services in Python, including APIs, data services, and integrations between the compute layer and customer products.
- Work across service code, data pipelines, and integration layers as needed.
- Translate real customer needs into working systems in partnership with data products, science, and customer-facing teams.
- Own the reliability, performance, and evolution of services.
- Contribute to code quality and technical direction and mentor earlier-career engineers.
Requirements
- 5+ years of backend software engineering experience in production environments.
- Strong Python fundamentals and experience building and operating backend services.
- Ability to work across data, infrastructure, and API layers.
- Track record of shipping in fast-moving, ambiguous environments.
- Clear written and verbal communication and ability to collaborate across functions.
- Experience designing and operating distributed systems is preferred.
- Comfort with performance-sensitive systems where latency and throughput matter is preferred.
- Exposure to data-intensive applications such as pipelines, storage systems, or analytical workloads is preferred.
- GPU or accelerator-adjacent engineering experience is a plus.
- High-scale or high-performance computing experience is a plus.
- Experience partnering with applied science or research teams is a plus.
- Familiarity with causal inference or graph-based systems is a plus.
Benefits
- Five days onsite in a downtown San Francisco office
- Small team with high ownership and a short path from idea to production
- Opportunity to work on GPU-resident infrastructure and real-time causal computation
- Work with customers including NVIDIA and Delta
About Alembic
Alembic builds an enterprise Causal AI platform that measures the revenue impact of marketing and other business actions, providing deterministic attribution, forecasting, and budget insights for large brands. It sells its software as a SaaS analytics product to marketing and growth teams, with integrations across advertising and omnichannel data. Founded in 2018 and headquartered in San Francisco, the company is privately held; customers include NVIDIA, its founding enterprise customer and supercomputing partner.