siftstack
Application Software Engineer
At a Glance
- Location
- San Francisco, California, United States
- Employment
- FULL_TIME
- Experience
- 2+ years
- Compensation
- {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'minValue': 125000, 'maxValue': 175000, 'unitText': 'YEAR'}}
- Department
- Sift Stack, Inc.
- Posted
- 2026-07-29
Key Requirements
Required Skills
Domain Knowledge
- Aerospace
- Defense
- Energy
- Engineering
- Regulatory
Requirements
Someone with a customer-first mindset who’s excited to solve real-world engineering problems in the field.
An engineer who thrives in ambiguity and can adapt quickly to evolving customer needs.
Aerospace systems, satellite operations, or autonomous vehicle development.
Data streaming technologies or time-series databases (e.g., Kafka, InfluxDB).
SQL and database concepts.
Cloud platforms (e.g., AWS, GCP, Azure).
Responsibilities
Application Software Engineers bridge the gap between Sift’s cutting-edge telemetry platform and our customers’ complex engineering challenges.
In this role, you’ll work directly with customer teams to adapt Sift’s capabilities to their needs, build custom solutions, and foster deep partnerships.
You’ll collaborate with product and engineering teams to translate customer requirements into actionable insights, ensuring our platform evolves to meet real-world demands.
This is a rare opportunity to join an early-stage startup and directly impact the success of next-generation machines.
You will report to the team's Lead and play a critical role in delivering value to our customers.
About the Company
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.