Application Software Engineer
Posted Updated
- 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
- 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
Benefits
- Free lunch, snacks, & coffee
- Top-tier health insurance: Medical, Vision, & Dental
- Unlimited PTO
- We’re looking for an engineer who thrives in dynamic, customer-facing environments and is passionate about industries like aerospace, autonomous systems, and renewable energy
- Proficiency in Python and familiarity with REST APIs
- Passion for aerospace, autonomous systems, or advanced engineering applications
- Bachelor’s degree in computer science, data science, engineering, math, physics, or a STEM discipline
- Excellent communication skills, with the ability to explain technical concepts to diverse audiences
- Eagerness to learn and adapt in a fast-paced startup environment
- Basic understanding of data analysis and visualization techniques
- Strong problem-solving skills with a keen attention to detail
- 2+ years of experience in software engineering or data engineering
- Experience in any of the following:
- Aerospace systems, satellite operations, or autonomous vehicle development
- Data streaming technologies or time-series databases (e.g., Kafka, InfluxDB)
- Cloud platforms (e.g., AWS, GCP, Azure)
- SQL and database concepts
- Machine learning or AI applications in engineering
- Software integration challenges in complex systems
- Demonstrated ability to quickly learn and apply new technologies
