About the role

Aplyr's Quick Take

This role is for a Full Stack Software Engineer who will develop and maintain features for a web application focused on processing complex telemetry data. You'll work on both frontend and backend tasks, collaborating with other teams to create efficient APIs and user interfaces for real-time data. It's primarily an individual contributor role, requiring strong coding skills and problem-solving abilities.

Good fit

Ideal candidates have 3+ years of full-stack development experience, particularly with technologies like React, Go, and Python. You should be detail-oriented and comfortable working in a collaborative environment with a focus on building tools for technical users.

Worth noting

The company is still in early product development, which means you'll have a significant impact on the platform's evolution. They also have a hybrid work model, requiring in-person collaboration twice a week.

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 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

The Skillset You'll Bring:

3+ years of professional experience in full-stack software development
Experience building production applications with technologies like React, NextJS, TypeScript, Go, Rust, and Python
Familiarity with relational and non-relational databases, e.g. PostgreSQL, Druid, Pinot, Timescale, or similar
Strong problem-solving skills and attention to detail

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: 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

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: $150,000 - $200,000 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.

Skills & Tags

react python typescript go rust aws kubernetes docker

Aplyr's read

Sift leverages machine learning to combat fraud, attracting tech-savvy professionals passionate about security and risk management.
Synthesized from recent postings & public sources

What's promising

•Sift's machine learning technology is at the forefront of fraud prevention.
•The company offers diverse roles, from AI to strategic operations, for career growth.
•Sift's solutions help businesses proactively manage and reduce fraudulent activities.

What to watch

•The niche focus on fraud prevention may limit broader market opportunities.
•Rapid tech changes require constant adaptation, posing challenges for employees.
•The competitive landscape in fraud prevention technology is intense.

Why SIFT

•Sift specializes in machine learning for risk management, a distinct niche.
•The company integrates cutting-edge AI to enhance fraud detection accuracy.
•Sift's focus on proactive fraud solutions differentiates it from reactive competitors.

Aplyr’s read is generated by AI from public sources. Was it useful?

About SIFT

SIFT

siftstack.com

View company

Sift is a technology company that provides machine learning solutions for fraud prevention and risk management, helping businesses to analyze and mitigate fraudulent activities.