Software Engineer IV: AI-Powered Cloud Orchestration

Avalara Technologies

United States

Remote

USD 130,000 - 170,000

Full time

4 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Avalara Technologies seeks senior software engineers to advance its Content Engineering platform, building cloud-native systems and AI agents to automate content sourcing, understanding, and management at scale.

You will contribute to the Content Studio orchestration layer across MCP servers, AI agents, APIs, microservices, and frontend apps, delivering reliable, scalable workflows with human-in-the-loop capabilities and strong CI/CD practices.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related technical field.
6+ years of software engineering experience building scalable, production-grade full-stack systems (backend services/APIs and modern frontend applications).
Experience with distributed systems, system architecture, event-driven architectures, and cloud-native development.
Proficiency in C#, Java, or Python and React, with experience building responsive, interactive UIs.
Experience with generative AI features and agentic/autonomous workflows that detect, decide, and act with minimal human input.
Hands-on experience with CI/CD, DevOps, AWS/cloud environments, and deploying, monitoring, and scaling services.
Experience with Postgres and containerization technologies such as Docker and Kubernetes.
Understanding of secure software development, including least privilege, data protection, and secure coding practices.

Responsibilities

You'll build intelligent AI agents and orchestration layers to automate end-to-end compliance content workflows.
You'll develop scalable, cloud-native platforms, distributed systems, APIs, and reusable services for new content types.
You'll build React interfaces with generative AI capabilities for recommendations, updates, conflict resolution, and human-in-the-loop workflows.
You'll improve architecture and engineering practices that improve scalability, reliability, observability, and operational efficiency.
You'll establish CI/CD, testing, deployment, monitoring, and AI evaluation practices for production systems.
You'll partner with engineering, infrastructure, product, and data teams to deliver measurable outcomes.
You'll mentor engineers, provide technical leadership, and lead responsible AI adoption.
You'll create reusable engineering patterns and operating practices that improve delivery speed, quality, scalability, and growth.