Full Stack Software Engineer

Waste Connections is seeking a Full Stack Software Engineer to build and support scalable enterprise applications, with a strong focus on backend services for conversational and voice AI. Applications consist of backend services, APIs, integrations, and modern web interfaces to deliver AI-powered and customer-facing solutions. The ideal candidate is comfortable owning work end-to-end, from design through production and support.


Key Responsibilities

• Design, build, and support cloud-native solutions in AWS using secure and scalable architecture patterns.
  
  

• Develop backend microservices that power conversational and voice AI applications.
  
  

• Build modern user interfaces that create a positive customer experience
  
  

• Integrate applications with third-party APIs, SaaS platforms, telephony, and CCaaS/CPaaS platforms.
  
  

• Work with key components of voice AI applications, such as streaming audio, barge-in handling, retries, fallbacks, and transcript capture.
  
  

• Develop as part of an Agile team, utilizing CI/CD, automated testing, and IaC templates.
  
  

• Implement logging, metrics, alerting, and health checks to keep production services observable and reliable.
  
  

• Troubleshoot application and infrastructure issues across the stack.
  
  

Qualifications

• 5-8 years of professional software development experience using .NET, C#, and Python
  
  

• Bachelor's degree in Computer Science, IT, or related field - or equivalent work experience.
  
  

• Strong understanding of REST APIs, microservices, and application integration patterns.
  
  

• Experience with cloud services and container-based deployments (AWS-preferred).
  
  

• Experience with agentic AI development tools and frameworks.
  
  

• Proficiency with at least one relational database technology.
  
  

• Experience with React and/or Angular, TypeScript, and modern frontend tooling.
  
  

• Familiarity with GitHub Actions or comparable CI/CD tooling and automated testing practices.
  
  

• Experience with conversational or voice AI systems (e.g. streaming audio, turn-taking, LLM orchestration).
  
  

• Familiarity with voice AI evaluation metrics and frameworks
  
  

• Disciplined approach to security and compliance, including handling of PII, customer account data, secrets, least privilege, auditability, and PCI-sensitive boundaries.
  
  

Successful candidates will demonstrate the ability to deliver reliable, scalable, and maintainable solutions while collaborating effectively across technical and business teams.


Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.