Job Url: https://www.remoterocketship.com/company/calendly-9/jobs/backend-engineer-ai-platform-united-states-remote

Job Description: 
Calendly
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Calendly is a leading scheduling tool that simplifies the booking of meetings for individuals and organizations. With features that automate scheduling, connect multiple calendars, and offer real-time availability, Calendly helps users across various industries streamline their meeting processes. 

The platform supports over 100 integrations with popular tools and provides custom event types, making it a suitable choice for solopreneurs, small businesses, and even large enterprises seeking to enhance productivity and reduce scheduling errors. 

education • software as a service • tech • mobile app • meetings


501 - 1000 employees

⚡ Productivity

☁️ SaaS

🤝 B2B

💰 $2.7G Series B on 2021-01

Backend Engineer, AI Platform
10 hours ago

🇺🇸 United States – Remote

💵 $124k - $223.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

AWS

Azure

Cloud

Distributed Systems

Docker

Google Cloud Platform

GraphQL

Java

Kubernetes

Microservices

MongoDB

Postgres

Python

Redis

Scala

Go

Apply Now


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📋 Description
• Architect, implement, and maintain backend services and APIs for AI-driven products and features.
• Build scalable infrastructure to support large-scale training, deployment, and monitoring of machine learning models.
• Integrate third-party AI/ML solutions where appropriate and optimize system performance.
• Implement security, compliance, and data privacy best practices for AI workflows.
• Collaborate cross-functionally with ML engineers and data scientists to enable seamless model deployment and management.
• Develop testing frameworks and monitoring tools to ensure system reliability and observability.
• Participate in technical design reviews and provide input on best practices and emerging technologies.
• Debug production issues across services and multiple levels of the stack

🎯 Requirements
• Professional experience (typically 5+ years) as a backend engineer or in a similar software engineering role, ideally supporting data or ML systems.
• Hands-on experience building distributed systems, GraphQL and RESTful APIs, and/or microservices architectures.
• Strong proficiency in at least one backend programming language (such as Python, Go, Java, or Scala).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Familiarity with storage solutions relevant for AI (e.g., PostgreSQL, MongoDB, Redis, object storage, data lakes).
• Knowledge of security, privacy, and compliance principles in distributed/cloud environments.
• Comfortable with CI/CD pipelines, version control systems (Git), and infrastructure-as-code.

🏖️ Benefits
• Competitive benefits
• Quarterly Corporate Bonus program
• Equity awards