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Sift Stack

Senior Software Engineer, Frontend

Sorry, this job was removed at 12:11 a.m. (PST) on Friday, May 22, 2026
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Hybrid
San Francisco, CA, USA
Hybrid
San Francisco, CA, USA
About Sift

Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.

In This Role, You'll:

  • Build high-performance data visualization interfaces and reusable component libraries for complex telemetry data

  • Create intuitive user interfaces for data exploration while optimizing for large real-time datasets

  • Collaborate with backend teams on API design and implementation for seamless user experiences

  • Write clean, maintainable code and participate in technical design discussions

The Skillset You'll Bring:

  • 5+ years of professional experience building web applications and data-driven tools

  • Strong experience building production applications with technologies like React, NextJS, and TypeScript

  • Strong understanding of web performance optimization and browser rendering

  • Experience with modern CSS (Tailwind) and component libraries (Radix UI) for building design systems

Bonus Points:

  • Experience with technical visualization tools (WebGL, D3.js, Apache ECharts) and time-series data

  • Knowledge of WebAssembly and browser-based computation

  • Background in scientific computing or technical data visualization

  • Experience building tools for technical users (dashboards, data-editing environments)

  • Built and launched side projects with consistent usage traffic

Engineering At SIFT:

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: React, TypeScript, Redux, Tailwind, WebAssembly, D3.js, WebGL, and Go 

  • Data: Parquet, Flink, Kafka, Redpanda, Beam, DuckDB, Timescale, QuestDB, InfluxDB, and Druid

  • Infrastructure: GitHub Actions, AWS, Azure, GCP, Docker, Kubernetes, and Terraform


Location:

Sift’s headquarters is in Marina Del Rey, CA (Next to LAX). We collaborate in person twice a week—on Mondays and Thursdays—and come together for a full week every two months. We are open to relocating candidates to LA or working from our San Francisco office for the right candidate.

Salary range: $170,000 - $220,000 per year. Plus equity and benefits.

Eligibility:

U.S. Person Required: Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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