Staff Software Engineer, Backend (Product)

TL;DR

Staff Software Engineer, Backend (Product): Leading the development, deployment, and management of web services and infrastructure that empower AI-driven products. Focus on streamlining data pipelines, optimizing model deployment, and ensuring backend systems effectively support AI-based product features.

Location: Mountain View, CA

Salary: $210,000 to $275,000 USD per year

Company

hirify.global is the world’s leading tool for meeting transcription, summarization, and collaboration using artificial intelligence.

What you will do

• Build and enhance backend systems that seamlessly integrate with machine learning and AI-driven features using Python.
• Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.
• Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows.
• Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.
• Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics.
• Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure.

Requirements

• Has 10+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.
• Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field.
• Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.
• Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++.
• Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows.
• Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.

Nice to have

• Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations.
• Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services.

Culture & Benefits

• Committed to building an inclusive and accessible workplace.
• Provide reasonable accommodations for qualified applicants throughout the hiring process.