Our engineering teams build and evolve cloud-native platforms that support tax compliance across large-scale transaction environments. The team focuses on building a platform for our customer experiences and user interfaces with scalable architecture, strong engineering fundamentals, operational excellence , and modern development tools and practices that improve speed, quality, and customer experience.
What you will do
As a Software Engineering Manager, you will lead multiple Scrum teams across geographies and help create scalable SaaS solutions in a distributed environment. You will partner with cross-functional stakeholders , improve engineering execution, and support architectural and operational decisions that strengthen performance, security, reliability, and delivery predictability.
You will also help grow engineering talent, establish development practices, and support adoption of AI-enabled workflows that improve productivity and quality across the software development lifecycle.
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
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
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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
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 This role is expected to raise and continuously advance Avalara's AI engineering capability. The manager must demonstrate deep, hands-on experience applying AI across coding, testing, operations, and engineering workflows to drive measurable improvements in productivity, quality, and delivery speed. This leader will introduce new AI tools, establish best practices, and operationalize AI-driven development, ensuring the team moves beyond basic usage toward meaningful innovation and automation. Success requires actively leveling up the AI capability of the engineering organization, mentoring engineers on applied AI techniques, and identifying strategic opportunities where AI can materially improve engineering outcomes and business impact.
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 This role is expected to raise and continuously advance Avalara's AI engineering capability. The manager must demonstrate deep, hands-on experience applying AI across coding, testing, operations, and engineering workflows to drive measurable improvements in productivity, quality, and delivery speed. This leader will introduce new AI tools, establish best practices, and operationalize AI-driven development, ensuring the team moves beyond basic usage toward meaningful innovation and automation. Success requires actively leveling up the AI capability of the engineering organization, mentoring engineers on applied AI techniques, and identifying strategic opportunities where AI can materially improve engineering outcomes and business impact.
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.
You’ll bring experience using AI and AI-related technologies, ready to thrive here.
You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversit y Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
We’re defining the relationship between tax and tech.
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
