Sift Stack Logo

Sift Stack

Staff Backend Engineer

Reposted One Month Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
200K-260K Annually
Senior level
Hybrid
San Francisco, CA, USA
200K-260K 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 - $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.

HQ

Sift Stack San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

7 Days Ago
Hybrid
195K-343K Annually
Expert/Leader
195K-343K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, implement, operate, and improve highly available backend services and distributed systems at significant scale. Collaborate across teams to deliver product solutions, test and debug code, and promote availability, scalability, operational excellence, security, and cost management. Investigate incidents, provide technical leadership, and use AI-assisted engineering workflows while maintaining production-quality standards.
Top Skills: Ai ToolsAmazon Web ServicesC++Cloud ComputingData StorageDistributed SystemsGCPJavaKubernetesMachine LearningMemcacheMicroservicesNatural Language ProcessingNetworkingNoSQLPythonRedis
8 Days Ago
In-Office
Senior level
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Own the architecture and technical direction of the Payments domain, including gateway integrations, payment APIs, distributed systems, data stores, and customer-facing applications. Lead multi-quarter migrations and delivery, establish security and reliability standards, mentor engineers, and partner across business and engineering teams. The role requires deep C#/.NET backend expertise, full-stack capability, payments and fintech experience, AWS and Kubernetes proficiency, database expertise, observability, and responsible use of AI development tools.
Top Skills: .NetAWSC#CdkDatadogDynamoDBKafkaKubernetesPaypalPci-DssPostgresReactStripeSvelteTerraformTypescript
6 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
168K-253K Annually
Senior level
168K-253K Annually
Senior level
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
Lead the architecture, development, and deployment of scalable APIs and backend systems for Afresh’s AI-powered grocery ordering platform. Partner with product, account management, design, and engineering teams to deliver integrated solutions used across thousands of stores. Drive projects from conception through launch, make high-impact architectural decisions, understand complex business dependencies, and mentor junior engineers.
Top Skills: AIAPIsBackend Systems

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