Software Engineer, Backend (AI)

TL;DR

Software Engineer, Backend (AI): Building and optimizing scalable, high-performance backend systems for hirify.global's interactive entertainment platform with an accent on API design, system performance, and reliability. Focus on designing robust microservices architectures, leveraging cloud platforms, and ensuring high availability for large-scale, high-traffic applications.

Location: Redwood City, CA

Salary: $180,000–$300,000

Company

hirify.global is a unicorn-status company empowering people to connect, learn, and tell stories through interactive AI technology, recognized as Google Play's AI App of the Year.

What you will do

• Design, develop, and maintain scalable backend services that support applications and infrastructure.
• Implement secure and efficient APIs to support frontend applications and third-party integrations.
• Optimize system performance, reliability, and scalability through effective architecture and engineering best practices.
• Work closely with product managers, data analysts, and frontend engineers to develop backend solutions that align with business and user needs.
• Monitor system health, troubleshoot issues, and implement improvements to enhance efficiency and stability.
• Maintain security best practices and stay up to date with backend development and distributed systems trends.

Requirements

• 5+ years of experience in backend development, building scalable and reliable applications.
• Strong proficiency in programming languages such as Python, Java, or Go (Python and Go preferred).
• Experience with database technologies such as PostgreSQL, MySQL, or NoSQL solutions.
• Familiarity with designing and integrating APIs, including REST and GraphQL.
• Understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).
• Experience with containerization and orchestration tools like Docker and Kubernetes.

Nice to have

• Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.).
• Knowledge of caching strategies and performance optimization techniques.
• Experience working on large-scale, high-traffic applications.
• Familiarity with CI/CD pipelines and DevOps best practices.
• Exposure to machine learning or data-driven applications.

Culture & Benefits

• Offers equity as part of compensation.
• Commitment to diversity and equal opportunity employment.
• Work on innovative AI technology for interactive entertainment.
• Opportunity to shape the future of Consumer AI.