1 year ago
Base Salary
$160k - $300k/yr
Responsibilities
- Design, build, and scale low-latency backend services and APIs for high-volume engineering data streams.
- Develop distributed Python services, asynchronous systems, data pipelines, and integrations with third-party and enterprise applications.
- Architect systems for high availability, performance, reliability, security, and compliance.
- Deploy and operate backend systems using cloud platforms and containerization.
- Shape long-term architecture, mentor teammates, and establish engineering practices for scalable backend services.
Requirements
- 3–5+ years of experience designing and building distributed backend services in Python, including asynchronous systems, data pipelines, and APIs.
- Experience building data-heavy, high-throughput systems with a focus on latency, performance, and reliability.
- Proven ability to build and maintain RESTful APIs for large-scale applications.
- Hands-on experience with cloud deployments using GCP, AWS, or Azure and containerization using Docker or Kubernetes.
- Experience integrating third-party APIs, SaaS tools, and enterprise applications.
- Experience with CI/CD, observability, and testing frameworks.
- Preferred experience with React and TypeScript, Kubernetes, Docker, Terraform, and data visualization tools such as D3 or visx.
Benefits
- Visa sponsorship is available.
- Hybrid work with three days per week in the San Francisco office.
- 401(k) plan.
- Medical, dental, and vision insurance coverage.
- Office snacks.
- Flexible vacation policy and paid time off.
Categories
About Apiphany
Apiphany builds AI software that turns unstructured product-engineering and manufacturing data into searchable, contextual insights for engineering, quality, and operations teams. Its platform connects to existing systems—RFPs, design specs, CAD, BOM/PLM, test data, and field reports—to deliver real-time guidance and review workflows. Privately held and based in San Francisco, it targets enterprise manufacturers in automotive, aerospace, and related sectors via a SaaS model.