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About the Role
Sift is seeking backend or infrastructure engineers to design, build, and operate systems that process and store real-time telemetry data. You will own features end-to-end, collaborate with cross-functional teams, optimize systems for performance and scalability, and participate in on-call rotations. This role is crucial for building the data infrastructure for the AI era of physical systems.
Responsibilities
- 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.
Requirements
- 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.
- Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR / EAR regulations.
Skills
- Go
- Rust
- Python
- Linux
- Networking
- SQL
- API development (REST, gRPC/Protobuf)
- Distributed systems
- Kubernetes
- Prometheus
- Argo CD
- Streaming data systems
- Time-series data systems
- Performance tuning
- Observability tools
Location
- Marina Del Rey, CA
- San Francisco, CA
Work Type
- Hybrid (in-person twice a week, full week every two months)
- Relocation assistance available
Experience Level
- 7+ years of experience
Education Level
- Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline
Salary/Compensations
- $200,000 - $260,000 per year
Benefits
- Equity
- Benefits
About the Company
- Sift is the data infrastructure platform for hardware engineering teams, turning 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.