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Sift Science

Software Engineer

Sift Science, San Francisco, California, United States, 94199

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At Sift, we're redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability over high-frequency telemetry-eliminating bottlenecks and enabling faster, more reliable development.

Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship-where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable.

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.

In This Role, You'll:

Design and build a high-performance, scalable, end-to-end data platform for hardware engineering Design and build a delightful user interface for visualizing and transforming millions of data points Work closely with customers, including hardware engineers, to understand their problems and find efficient solutions Help define engineering culture, standards, and processes Collaborate with peers on architecture, design, and code reviews The Skillset You'll Bring:

Bachelor's degree in computer science, data science, engineering, math, physics, or STEM discipline 3+ years of experience in software engineering or data engineering Experience designing and building large-scale, distributed systems or web applications using Go, Python, or an equivalent language Self-starter, able to navigate ambiguity and changing priorities Team player with excellent communication skills and a collaborative work ethic Bonus Points:

Experience working with in-stream data processing and analytics using Apache Kafka, Flink, Beam, or similar Experience with relational and non-relational databases, e.g. PostgreSQL, Druid, Pinot, Timescale, or similar Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI, or similar Strong understanding of DevOps principles: version control, testing, continuous integration, build, deployment, and monitoring Front-end experience in React or a similar JavaScript framework 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

El Segundo, CA . We collaborate

in person

twice a week-on

Mondays and Thursdays -and come together for a full week every two months. While we prefer team members to be local, we're open to

relocating candidates to LA

or considering

remote work from the San Francisco

area for the right candidate.

Salary range: $150,000 - $200,000 per year. Plus equity and benefits.

Eligibility:

US Person Required : Must be a

U.S. Citizen or Green Card Holder

due to ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) compliance requirements.