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Staff Backend Engineer

SiftstackMarina Del Rey🇺🇸United StatesPosted Oct 27, 2025

Why This Role Stands Out

You'll have the opportunity to build impactful backend systems processing real-time telemetry data for mission-critical applications, leveraging your expertise in distributed systems. This remote role is perfect for experienced backend engineers who thrive on owning features end-to-end and contributing to system evolution, offering significant career growth within a company founded by former SpaceX engineers. Apply now to join a team dedicated to advancing the AI era for physical systems.

Quick Overview

Salary
$200k - $260k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Marina Del Rey, United States
Posted
11 months ago
DockerRustSQLAWSFlinkApacheDatadogGitHub ActionsGrafanaKafkaKubernetesPostgreSQLPrometheusPythonRESTReactTimescaleDBTypeScriptgRPC

Job Description

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:

  • Design, build, and operate backend systems that process and store large volumes of real-time telemetry data.

  • Own features end-to-end, from design to post-launch improvement.

  • Collaborate with Frontend, Design, and Data teams to ensure features solve real customer problems.

  • Optimize backend systems for performance, scalability, and reliability.

  • Contribute to system evolution—migrating services, introducing caches, and improving storage or indexing layers.

  • Participate in on-call rotations, debugging live issues, and improving observability.

  • Raise the bar through code reviews, shared patterns, and mentorship.

The Skillset You'll Bring:

  • Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline

  • 7+ years of experience in backend or infrastructure roles

  • Strong understanding of distributed systems fundamentals—state, fault tolerance, recovery.

  • Experience with Go, Rust, or Python, and strong Linux/networking fundamentals.

  • Deep knowledge of SQL and operational database experience (indexing, migrations, tuning).

  • Experience building and scaling APIs (REST, gRPC/Protobuf).

  • Strong debugging skills and a production-first mindset.

  • Familiarity with Kubernetes, Prometheus, Argo CD, and other modern infrastructure tools.

Bonus Points:

  • Experience with streaming or time-series data systems (Kafka, Flink, TimescaleDB, etc.).

  • Experience with performance tuning and profiling at query or service layers.

  • Familiarity with observability tools (Datadog, Grafana).

  • Background in hardware or telemetry-heavy environments.

Engineering at SIFT:

You’ll join a tight-knit team of world-class engineers building foundational systems for next-gen machines. Technologies you'll work with may include:

  • Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript

  • Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust

  • Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux

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: $200,000 - $260,000 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.

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