Senior Software Engineer - Backend at Pano AI

San Francisco, California, United States

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$150,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial IntelligenceIndustries

Requirements

Candidates should possess 5+ years of hands-on backend software engineering experience and 3+ years of professional experience in a fast-paced SaaS or similar business environment. Proficiency in server-side Java and Python development with modern frameworks like Spring and Django, as well as SQL, RDBMS (PostgreSQL preferred), and ORMs, is essential. The ability to visualize and build systems, along with proven troubleshooting skills, is also required.

Responsibilities

The Senior Software Engineer will drive major projects to unlock new end-to-end capabilities, build scalable, secure, and maintainable production systems, and develop new features, tools, frameworks, and workflows. Responsibilities include ensuring application performance, uptime, and scale, maintaining high standards for code quality and security, working with agile methodologies, and participating in an on-call rotation for production issue resolution. The engineer will also create run-books, metrics, and dashboards.

Skills

Software Engineering

Backend Development

Artificial Intelligence

Web Development

Data Analysis

Problem-Solving

Team Collaboration

Pano AI

AI-powered wildfire detection platform

About Pano AI

Pano.ai specializes in fire detection and prevention through its platform, Pano Rapid Detect, which uses artificial intelligence and advanced visual technology to identify wildfires at their earliest stages. The system integrates data from ultra-high-definition cameras, geo satellite data, and field sensors, providing fire professionals with real-time information to enhance their response efforts. Pano.ai stands out by combining multiple data sources and advanced technology, offering a comprehensive solution for fire departments and first responders. The company's goal is to improve wildfire detection and response capabilities, ultimately reducing the impact of wildfires on communities.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$43.8MTotal Funding

EARLY_VCCompany Stage

Government & Public Sector, AI & Machine LearningIndustries

51-200Employees