Senior Software Engineer

About the role

Avalara is accelerating delivery of AI-enabled capabilities across our compliance platform to improve customer experience, increase engineering velocity, and scale global operations efficiently. This role involves senior engineers who can deliver high-quality distributed systems and significantly increase leverage through applied AI.

Responsibilities

• Increase engineering velocity through structured AI-assisted development and automation.
• Improve platform reliability, observability, and scalability across distributed systems.
• Deliver AI-enabled product capabilities that improve customer efficiency and insight.
• 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.

What This Role Elevates Avalara

This Senior Software Engineer will:

• Contribute to a culture of Bar Raisers who improve talent density and execution quality.
• Embed AI into development workflows and strengthen architectural discipline.

Required Qualifications

• 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.

Bar Raiser Expectations

• Hold high standards of ownership, quality, and accountability.
• Use strong judgment in architectural and technical tradeoffs.
• Improve the performance of peers through coaching and example.
• Leave systems, processes, and documentation stronger than they found them.