Note: The job is a remote job and is open to candidates in USA. 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. The ideal candidate will own work end-to-end, from design through production and support.
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
Skills
- 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
Company Overview