Application Software Engineer

Marina Del Rey, CA, Remote. Posted 7 months ago

The role

Application Software Engineers bridge the gap between the telemetry platform and customer engineering challenges. You will work with customer teams to adapt platform capabilities, build custom solutions, and translate requirements into actionable insights.

What you will do

Partner with customers to understand technical challenges and adapt Sift's platform.
Develop custom solutions and integrations using Sift APIs.
Translate customer requirements into actionable feedback for product and engineering teams.
Create and maintain integrations with common engineering tools.
Prepare materials and assist in technical onboarding and training sessions.
Build strong, trust-based relationships with customers.

Required qualifications

2+ years of experience in software engineering or data engineering.
Proficiency in Python and familiarity with REST APIs.
Basic understanding of data analysis and visualization techniques.
Strong problem-solving skills with a keen attention to detail.
Excellent communication skills.
Passion for aerospace, autonomous systems, or advanced engineering applications.
Eagerness to learn and adapt in a fast-paced startup environment.
Bachelor's degree in computer science, data science, engineering, math, physics, or a STEM discipline.

Nice to have

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).
Software integration challenges in complex systems.
Machine learning or AI applications in engineering.
Demonstrated ability to quickly learn and apply new technologies.

Benefits

Equity
Benefits

Before you apply

US Person Required: Must be a U.S. Citizen or Green Card Holder due to ITAR / EAR compliance requirements.

About the company

Sift is the data infrastructure platform for hardware engineering teams. Founded by former SpaceX engineers, it turns high-frequency telemetry into engineering insights for mission-critical systems.