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Salary
$160k – $200k per year
Location
In office
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
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Sift is a software company that provides a unified data observability platform specifically designed for mission-critical hardware and complex physical machines. Founded by former SpaceX engineers, the company's software replaces fragmented internal tooling by streamlining real-time telemetry ingestion, storage, automated anomaly detection, and root-cause analysis. Headquartered in El Segundo, California, it serves engineering teams across high-stakes industries such as aerospace, defense, autonomous systems, and transportation.

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 maintain scalable, resilient infrastructure solutions to support our growing platform and customer base.

  • Collaborate with software engineers to optimize application performance and reliability.

  • Implement monitoring, alerting, and logging systems to ensure proactive identification and resolution of issues.

  • Automate deployment processes and streamline infrastructure management using modern DevOps tools and methodologies.

  • Evolve our backend architecture/infrastructure for both cloud and on-premise deployments.

  • Work with the team to set and prioritize our roadmap to maximize customer impact.

  • Lead initiatives to improve infrastructure reliability, performance, and cost efficiency.

The Skillset You'll Bring:

  • 3+ years of relevant distributed systems experience focusing on designing and managing cloud-based environments (e.g., AWS, Azure, GCP).

  • Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) and container orchestration platforms.

  • Passion for building and operating developer productivity tools, frameworks, and other aspects of platform engineering.

  • Familiarity with CI/CD pipelines and version control systems.

  • Knowledge of automated testing best practices and frameworks, ensuring software reliability through integration, performance, and end-to-end testing in distributed systems.

  • You're excited by the ambiguity and high-ownership culture of early-stage startups.

  • You are pragmatic, solution-oriented, and scrappy.

  • You enjoy working collaboratively with a broad range of job functions and roles.

  • Experience with our tech stack: Go, Java, React, TypeScript, Kafka/Redpanda, Flink, AWS, Azure, GCP, Docker, Kubernetes, and Terraform/CDK

    • Or equivalent distributed systems

  • Good knowledge of cloud, on-prem, networking, and service architecture in multi-region multi-cloud setups.

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: $160,000 - $200,000 per year. Plus equity and benefits.

Eligibility:

U.S. Citizenship Required: This position requires U.S. citizenship due to the nature of certain customer environments, security requirements, and access obligations associated with the role.

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