Aircall

Software Engineer, Integrations and AI

Aircall

full-time

Posted on:

Origin:  • 🇺🇸 United States • Washington

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Salary

💰 $150,000 - $190,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonReactRubySDLCTypeScript

About the role

  • Aircall: integrated customer communications and intelligence platform used by 20,000+ companies
  • Design, develop, and optimize scalable, high-performance cloud-based solutions for the Integrations team
  • Work across the full software development lifecycle: architecture, coding, testing, deployment, and operation
  • Collaborate with cross-functional teams to translate requirements into technical solutions
  • Mentor junior engineers and participate in code reviews to ensure code quality and share knowledge
  • Participate in requirements analysis and product/platform performance optimization and live site monitoring
  • Participate in an on-call rotation to respond to critical system issues and ensure continuous system reliability
  • Keep security best practices at the forefront of all work

Requirements

  • 3+ years of professional experience in back-end or full-stack development
  • Expert level programming ability with Typescript (+React), Python, or Ruby
  • Deep understanding of software development practices, scalable system architecture, security best practices and cloud-based platforms
  • Proven understanding of distributed computing principles and experience with cloud-based platforms
  • Exceptional analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues
  • Excellent communication and collaboration skills; thrive in a cross-functional team environment
  • Experience with on-call rotations, and implementing monitoring and alerting systems
  • Comfortable working in a fast-paced, dynamic environment with evolving priorities
  • Preferred: Experience deploying software to cloud-based platforms (AWS, Azure, GCP)
  • Preferred: Experience with the complete software development life cycle, from design to deployment and operation
  • Preferred: Experience with building secure, scalable, and performant software
  • Preferred: Experience working on Agentic AI solutions