# Application Software Engineer

**Company:** [Siftstack](https://hotfix.jobs/companies/siftstack)
**Location:** Marina del Rey, CA, Los Angeles, CA
**Role:** Solutions Architecture
**Salary:** $125k – $175k/yr
**Experience:** 2+ years
**Skills:** Python, REST APIs, SQL, Kafka, Influxdb, AWS, GCP, Azure, Data Analysis, Data Visualization
**Posted:** 2026-03-23

> Develops custom integrations and solutions using Sift's telemetry platform APIs for customer engineering challenges in aerospace and autonomous systems. Requires 2+ years software/data engineering experience, Python proficiency, and strong customer communication skills.

## Job Description

## Responsibilities
- Partner with customers to understand their technical challenges and adapt Sift’s platform to meet their specific needs.
- Develop custom solutions and integrations using Sift APIs to solve customer problems.
- Translate customer requirements into actionable feedback for product and engineering teams.
- Create and maintain integrations with common engineering tools to enhance customer workflows.
- Prepare materials and assist in technical onboarding and training sessions for customer teams.
- Build strong, trust-based relationships with customers, acting as a technical partner and advocate.

## Requirements
- 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, with the ability to explain technical concepts to diverse audiences.
- 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-Haves
- Experience in 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.

## Compensation
- Salary range: $125,000 - $175,000 per year.
- Plus equity and benefits.

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