Technical Lead (Java/.Net
Listed on 2026-08-13
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Software Development
AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software
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 a Technical Lead, you will join a globally distributed team to architect distributed systems and embed applied AI into our core products. You will sit within the E-invoicing and Live Reporting (ELR) team and reports to a Director of Engineering.
You will elevate platform reliability and raise engineering standards across the team. You'll take ownership of key platform areas, make bold technical decisions, and shape how work gets done by embedding AI into development workflows. If you are passionate about pushing the limits of innovation and creating industry-leading products, you will find a culture of Bar Raisers here who share your drive to build the future of compliance.
This role is fully remote.
#LI-REMOTE
What Your Responsibilities Will Be- Architect and deliver scalable, secure backend and frontend systems that support our global compliance platform.
- Lead technical design discussions and influence architectural decisions, collaborating cross-functionally to solve complex technical challenges.
- Increase development efficiency by embedding AI-assisted coding, testing, documentation, and architectural exploration into daily workflows.
- Deliver AI-enabled product features that enhance automation, data processing, and customer-facing intelligence.
- Improve deployment frequency, automated test coverage, and code quality through CI/CD and engineering best practices.
- Reduce production incidents and improve system observability through thoughtful architecture and proactive monitoring.
- Raise team performance standards through active mentoring, peer feedback, and maintaining high standards of accountability.
- B.S. in Computer Science or Engineering with 12+ years of professional software engineering experience.
- Hands-on experience building scalable APIs and services with Java or .NET (C#) and maintainable frontend applications with React (Type Script).
- Experience with distributed systems, RESTful/GraphQL APIs, system performance trade-offs, load balancing, and high availability engineering.
- Experience with AWS (Azure or GCP welcome), Infrastructure as Code (Terraform), CI/CD pipelines (e.g., Git Lab), Docker, and Kubernetes.
- Experience with relational and No
SQL databases and automated testing strategies. - Demonstrated, measurable impact from hands-on AI usage that improved business or engineering outcomes (casual AI usage is insufficient).
- Experience with LLMs and AI architectures, with experience designing and implementing agentic AI systems using frameworks like Lang Graph, Semantic Kernel, Auto Gen, or CrewAI.
- Deep knowledge of Retrieval-Augmented Generation (RAG), Vector databases, prompt engineering best practices, and model selection trade-offs.
- Strong understanding of AI security risks (prompt injection, data leakage) and data privacy/compliance requirements (e.g., GDPR).
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 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.
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