Senior Software Engineer (Full Stack)
Posted Updated
- As an early engineer at Sift, you won’t just write code—you’ll help define the architecture, shape the product, and influence the culture of a company focused on solving real engineering problems
- If you’re looking for complex technical challenges and the opportunity to build foundational systems supporting complex machines from the ground up, we want to hear from you
- Build and maintain full stack features across our web application and data processing backend for complex telemetry data
- Create intuitive user interfaces for data exploration while optimizing for large real-time datasets
- Implement efficient APIs and data access patterns for real-time data streaming
- Collaborate with data platform and frontend teams on service design and implementation
- Write clean, maintainable code and participate in technical design discussions
- You’ll have the opportunity to help evolve and scale our platform because we’re still in the early stages of building the product. Relevant technologies include:
- Web frontend & backend: ECharts, Go, gRPC, PostgreSQL, Protobuf, Radix, React, Redux, and TypeScript
- Data: Arrow, DataFusion, Flink, Parquet, and Rust
- Infrastructure: Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt
Benefits
- Free lunch, snacks, & coffee
- Top-tier health insurance: Medical, Vision, & Dental
- Unlimited PTO
- 8+ years of professional experience in full-stack software development
- Strong problem-solving skills and attention to detail
- Familiarity with relational and non-relational databases, e.g. PostgreSQL, Druid, Pinot, Timescale, or similar
- Experience building production applications with technologies like React, NextJS, TypeScript, Go, Rust, and Python
- Experience with technical visualization tools (WebGL, D3.js, Apache ECharts) and time-series data
- Knowledge of WebAssembly and browser-based computation
- Experience building tools for technical users (dashboards, data-editing environments)
- Background in scientific computing or technical data visualization
- Built and launched side projects with consistent usage traffic