Sift Stack Logo

Sift Stack

Staff Backend Engineer

Reposted One Month Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
200K-250K Annually
Senior level
Hybrid
San Francisco, CA, USA
200K-250K Annually
Senior level
Design and build scalable platforms for high-frequency data ingestion, develop database solutions, and pioneer data architecture while collaborating on engineering standards.
The summary above was generated by AI
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 - $250,000 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.

HQ

Sift Stack San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

8 Days Ago
Hybrid
San Francisco, CA, USA
150K-299K Annually
Senior level
150K-299K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.
Top Skills: AIBigQueryCloud RunCloud SqlEvent-Driven ArchitectureFastapiGoogle Cloud PlatformGoogle KmsMachine LearningMicroservicesNoSQLObservabilityPub/SubPydanticPythonQueuesSQL
5 Hours Ago
In-Office or Remote
US
Senior level
Senior level
Travel
Design and build scalable backend systems for a multi-tenant travel commerce platform. Orchestrate AI agents, implement guardrails and feedback loops, own end-to-end features, and collaborate with PMs and senior engineers to ship partner-facing products rapidly.
Top Skills: Ai AgentsGCPLlmsReactScalaTypescript
5 Days Ago
In-Office
140K-220K Annually
Senior level
140K-220K Annually
Senior level
Hardware • Manufacturing
Lead architecture and development of scalable, secure cloud backend services. Drive cloud-native adoption, performance optimization, infrastructure automation, and mentoring of engineers. Integrate with cross-functional teams, own complex technical problem-solving, conduct code reviews, and implement security best practices.
Top Skills: Ai OpsAWSAzureContainerizationDevOpsDockerJavaJvmKubernetesMessage QueuesMongoDBMultithreadingOciSdn Software Controller PlatformsServerlessSpring BootSQL

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account