Application Software Engineer

We Love AI Jobs; San Francisco (CA); Hybrid; USD 125,000 - 175,000; Full time

Job summary

Sift is seeking an Application Software Engineer in San Francisco (Hybrid) to work with customer teams, adapt the telemetry platform, and build integrations. The role blends Python development with API work and customer onboarding across aerospace and autonomous systems.

You’ll translate customer requirements into product feedback, create integrations with Sift APIs, and partner with product and engineering teams to deliver value in a fast-paced startup environment.

Qualifications

• 2+ years of software or data engineering experience.
• Proficiency in Python and REST APIs.
• Ability to translate customer requirements into actionable feedback.
• Strong communication and collaboration with customers and engineers.
• Bachelor’s degree in CS, data science, engineering, math, physics, or STEM.

Responsibilities

• Partner with customers to understand their technical challenges and adapt Sift’s platform to meet their 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.

Skills

Python

REST APIs

Communication

Analytical thinking

Startup environment

Education

Bachelor's degree (CS/Engineering/Data Science)

Tools

Kafka

InfluxDB

SQL

AWS

GCP

Azure

Job description

# Application Software EngineerSiftSan Francisco, CA (Hybrid)Full-time$125,000 – $175,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageYou’ll work with customer teams to adapt Sift’s telemetry platform, build integrations, and turn engineering challenges into product feedback. The role combines Python and API development with customer onboarding and technical partnership across industries such as aerospace and autonomous systems.* Permanent* Hybrid* 2+ years* Bachelor's Degree### Skills and expertisePythonREST APIsKafkaInfluxDBSQLAWSGCPAzure### Key responsibilities* Work with customers to understand their challenges and adapt Sift’s platform to their needs.* Build custom solutions and integrations using Sift APIs and common engineering tools.* Translate customer requirements into product feedback and support technical onboarding and training.## How this job comparesCompared with 1,047 open mid-level engineering jobs on October 10, 2026.Pay: This job pays $125K to $175K a year. The 452 open mid-level engineering jobs that publish US pay start at $138K on average, so this job starts about 10% lower.Similar open jobs: We Love AI Jobs lists 1,047 open mid-level engineering jobs at 274 companies.Remote work: This job is hybrid. 104 of the 1,047 mid-level engineering jobs (10%) are remote.AI in this role: Low. The company works with AI, but AI is a small part of this role's daily work. The role focuses on customer engineering challenges, platform integrations, and onboarding. Machine learning and AI applications are mentioned only as bonus experience, not as regular job responsibilities.## Full descriptionAbout SiftSift 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.About the RoleApplication 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.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. 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.In This Role, You’ll• 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.The Skillset You’ll Bring• 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.Bonus Points• 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).• 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.What We’re Looking For• 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.• A collaborative team player who can work effectively with customers, engineers, and go-to-market teams to drive impact.Location & Travel