Sr. Manager, Software Engineering

Avalara is looking for a Software Engineering Manager to lead distributed engineering teams building scalable, cloud-native SaaS solutions. The role involves driving execution, improving engineering quality and reliability, and delivering secure, high-performance systems that simplify tax compliance for customers.

Responsibilities:

• Lead and develop distributed engineering teams delivering scalable SaaS solutions
• Define and execute the technology roadmap for best in class web platform
• Drive predictable, high-quality execution across multiple Scrum teams
• Support architectural decisions that improve scalability, performance, security, and cost efficiency
• Strengthen CI/CD, automation, and DevOps practices to improve deployment speed and quality
• Be an escalation point for production and customer-impacting issues
• Partner with Product, UX, Architecture, and other stakeholders to align technical work with our priorities
• Hire, coach, and develop engineers
• Use metrics to guide decisions and continuous improvement
• Strengthen engineering fundamentals across object-oriented design, microservices, APIs, and secure development
• Lead adoption of AI-enabled development practices that improve team effectiveness

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• 10+ years of software development experience delivering large-scale production systems
• 2+ years of engineering management or equivalent leadership experience leading distributed teams
• Experience with front-end and full-stack development using technologies such as React, Angular, TypeScript, Node.js, C#, .NET, and REST APIs
• Experience designing and building scalable microservices architectures
• Hands-on experience with AWS or another major cloud provider and cloud-native architecture
• Experience implementing CI/CD pipelines and DevOps practices using tools such as GitLab, Terraform, and Docker
• Experience with scalability, performance optimization, and secure development practices
• Experience hiring, coaching, and developing engineers
• Demonstrated use of data and metrics to drive measurable improvements
• Applied experience using AI to improve engineering outcomes such as speed, quality, scale, or cost efficiency
• Experience with a relational database such as MySQL, PostgreSQL, or Oracle
• Experience using AI and AI-related technologies
• Ability to apply AI to business challenges - improving efficiency, contributing solutions, and driving results
• Curiosity about new trends and best practices in AI