What You’ll Do Avalara is accelerating delivery of AI-enabled capabilities across our compliance platform to improve customer experience, increase engineering velocity, and scale global operations efficiently. As transaction volumes, product complexity, and AI-driven initiatives expand, we require senior engineers who can both deliver high-quality distributed systems and materially increase leverage through applied AI. This role exists to elevate platform reliability, accelerate AI-enabled product delivery, and raise engineering standards across a globally distributed team. The successful candidate will directly influence delivery speed, system resilience, and AI adoption within engineering workflows and product capabilities. How This Role Elevates Avalara This Senior Software Engineer will: 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. Raise team performance standards through technical leadership, mentoring, and strong ownership. Contribute to a culture of Bar Raisers who improve talent density and execution quality. This role improves not only output, but how work gets done , embedding AI into development workflows and strengthening architectural discipline. What Your Responsibilities Will Be Responsibilities Deliver scalable, secure, and high-performing 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, peer feedback, and high standards of ownership and accountability. Collaborate effectively with global engineering, product, and business stakeholders in English. 12-Month Success Signals Within the first 12 months, this engineer will: Deliver multiple production-ready features, including at least two AI-enabled capabilities that improve customer or operational outcomes. Increase engineering velocity through AI-assisted workflows and automation (measurable improvement in cycle time, test coverage, or deployment frequency). Reduce production defects or incidents through improved architecture and observability. Demonstrate Bar Raiser impact by mentoring engineers and elevating technical standards across the team. Contribute to improved system scalability and reliability supporting global transaction growth. What You'll Need to be Successful Required Qualifications Must have: Strong English communication skills (written and spoken) for global collaboration. 4 years of bachelor’s degree or master’s degree in computer science or equivalent Engineering. 5+ years of professional software engineering experience aligned to senior-level scope. Strong hands-on experience with Java building scalable APIs and services. Any additonal experience with Python or Node or .NET (C#) is desirable. Flexible to switch between Technology. 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. Nice to have: Strong experience with React (TypeScript) building maintainable frontend applications will have advantages. Experience designing and operating distributed systems and RESTful and/or GraphQL APIs. Preferred Experience Experience in SaaS or enterprise-scale platforms. Experience in compliance, financial systems, or regulated domains. Experience leading cross-team technical initiatives. Bar Raiser Expectations At Avalara, we hire only Bar Raisers , individuals who improve the average performance of the team. This engineer will: Hold high standards of ownership, quality, and accountability. Improve the performance of peers through coaching, sharing and example. Leave systems, processes, and documentation stronger than they found them. AI Expectations This role requires applied AI capability, not passive familiarity. The successful candidate must: Demonstrate measurable impact from AI usage (e.g., reduced cycle time, increased automation, improved quality). Apply AI responsibly and securely in both engineering workflows and product features. Critically evaluate AI-generated outputs and implement governance-aware best practices. Share AI techniques and elevate adoption across the team. Bring new ideas to improve Product and Process using AI. Casual AI usage is insufficient. AI must materially improve outcomes. Avalara is an AI-first Company 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. How We'll Take Care of You 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 diversity 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. What You Need To Know About Avalara 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. Responsibilities Deliver scalable, secure, and high-performing 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, peer feedback, and high standards of ownership and accountability. Collaborate effectively with global engineering, product, and business stakeholders in English. 12-Month Success Signals Within the first 12 months, this engineer will: Deliver multiple production-ready features, including at least two AI-enabled capabilities that improve customer or operational outcomes. Increase engineering velocity through AI-assisted workflows and automation (measurable improvement in cycle time, test coverage, or deployment frequency). Reduce production defects or incidents through improved architecture and observability. Demonstrate Bar Raiser impact by mentoring engineers and elevating technical standards across the team. Contribute to improved system scalability and reliability supporting global transaction growth. Required Qualifications Must have: Strong English communication skills (written and spoken) for global collaboration. 4 years of bachelor’s degree or master’s degree in computer science or equivalent Engineering. 5+ years of professional software engineering experience aligned to senior-level scope. Strong hands-on experience with Java building scalable APIs and services. Any additonal experience with Python or Node or .NET (C#) is desirable. Flexible to switch between Technology. 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. Nice to have: Strong experience with React (TypeScript) building maintainable frontend applications will have advantages. Experience designing and operating distributed systems and RESTful and/or GraphQL APIs. Preferred Experience Experience in SaaS or enterprise-scale platforms. Experience in compliance, financial systems, or regulated domains. Experience leading cross-team technical initiatives. Bar Raiser Expectations At Avalara, we hire only Bar Raisers , individuals who improve the average performance of the team. This engineer will: Hold high standards of ownership, quality, and accountability. Improve the performance of peers through coaching, sharing and example. Leave systems, processes, and documentation stronger than they found them. AI Expectations This role requires applied AI capability, not passive familiarity. The successful candidate must: Demonstrate measurable impact from AI usage (e.g., reduced cycle time, increased automation, improved quality). Apply AI responsibly and securely in both engineering workflows and product features. Critically evaluate AI-generated outputs and implement governance-aware best practices. Share AI techniques and elevate adoption across the team. Bring new ideas to improve Product and Process using AI. Casual AI usage is insufficient. AI must materially improve outcomes.
