Avalara is accelerating delivery of AI-enabled capabilities across our compliance platform to improve customer experience, increase engineering velocity, and scale global operations efficiently. The Senior Software Engineer will elevate platform reliability, accelerate AI-enabled product delivery, and raise engineering standards across a globally distributed team.
Responsibilities:
- Deliver scalable, secure, and backend and frontend systems that support Avalara's global compliance platform
- Increase development efficiency by embedding AI-assisted coding, testing, documentation, and architectural exploration into daily workflows
- Contribute to AI-enabled product features that enhance automation, data processing, and customer-facing intelligence
- Improve deployment frequency, code quality, and automated test coverage through CI/CD and engineering best practices
- Reduce production incidents and improve system observability through thoughtful architecture and proactive monitoring
- Lead technical design discussions and influence architectural decisions for complex distributed systems
- Raise the performance of the team through mentoring, and peer feedback
- Collaborate with global engineering, product, and business stakeholders in English
Requirements:
- Strong English communication skills (written and spoken) for global collaboration
- B.S. in Computer Science or Engineering
- 8+ years of professional software engineering experience aligned to senior-level scope
- Hands-on experience with .NET (C#) building scalable APIs and services
- Experience with TypeScript/Node.js building maintainable frontend applications
- Experience designing and operating distributed systems and RESTful and/or GraphQL APIs
- Experience with AWS cloud environments
- Experience with Infrastructure as Code (Terraform)
- Experience with CI/CD pipelines (e.g., GitLab)
- Experience with Docker and Kubernetes in production environments
- Experience with relational and/or NoSQL databases
- Strong knowledge of automated testing strategies
- Demonstrated hands-on AI usage that improved measurable business or engineering outcomes
- Experience in SaaS or enterprise-scale platforms
- Experience in compliance, financial systems, or regulated domains
- Experience leading cross-team technical initiatives