Staff Backend Engineer

Staff Backend Engineer

• Title of Role: Staff Backend Engineer


• Location: San Francisco, onsite


• Company Stage of Funding: Venture Round — Software Development


• Office Type: Onsite


• Salary: $200K–$250K

Company Description

We're representing a dynamic software development firm focused on revolutionizing the audio AI landscape. This company is leveraging cutting-edge technologies to create innovative solutions that empower businesses with advanced data capabilities. With a passionate team and a collaborative environment, they are poised for significant growth in the AI and B2B sectors.

What You Will Do

• Design and implement scalable backend systems using NodeJS and PostgreSQL to support audio AI functionalities.


• Develop user interfaces with Next.js and Tailwind, ensuring seamless user experiences.


• Collaborate with cross-functional teams to integrate audio processing technologies like WebRTC and FFmpeg into existing platforms.


• Optimize application performance and reliability through rigorous testing and monitoring.


• Contribute to architectural decisions and best practices for software development processes.


• Mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Ideal Candidate Background

• 6+ years of experience in backend engineering with a strong focus on NodeJS and PostgreSQL.


• Proficiency in TypeScript and Next.js for full-stack development.


• Demonstrated experience with modern web technologies, including TailwindCSS and RPC.


• A solid understanding of cloud services, particularly AWS, for deploying scalable applications.

Preferred

• Familiarity with audio processing tools and libraries such as FFmpeg.


• Experience with real-time communication frameworks like WebRTC.


• Previous involvement in AI-driven projects or products.

Compensation and Benefits

The salary for this role ranges from $200K to $250K, complemented by competitive equity options. Join a forward-thinking team dedicated to pushing the boundaries of technology in the audio AI space.