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Avalara · 5 hours ago

Software Development Engineer

United States

Full-time

Remote

Mid Level

$132K/yr - $264K/yr

4+ years exp

Avalara is an AI-first company focused on enhancing productivity and customer value through the use of AI. As a Software Development Engineer on the Returns team, you will design and deploy microservices to power next-generation tax compliance products while collaborating with various teams to ensure best engineering practices are followed.

Artificial Intelligence (AI)ComplianceFinancial ServicesSoftwareTax Preparation

No H1B

Responsibilities

You will Develop microservices in a modern stack

You will manage the cloud infrastructure: provision, secure, and tune workloads on AWS (EKS, ECS, Lambda, RDS, DynamoDB, SQS, EventBridge, IAM) and evaluate or integrate other cloud vendors when needed (e.g., Azure OpenAI, GCP Vertex)

Integrate generative-AI APIs and tooling: prototype, productionize, and monitor features using providers such as OpenAI, Anthropic, or Bedrock; orchestrate prompts/agents by LangChain or custom frameworks; enforce data-privacy guardrails

Champion engineering best practices: CI/CD with GitLab Actions, infrastructure-as-code (Terraform/CDK), automated testing, SLO/Service level agreement ownership, and cost optimization

Mentor and collaborate: pair on tricky problems, review PRs with empathy, and partner with product, design, and ML teams to ship valuable experiences

Qualification

AWSMicroservicesGenerative AIBackend languagesCI/CDCollaborationMentoring

Required

4 years work experience building and operating production backend systems

4 years knowledge of AWS primitives (VPC networking, IAM, security, observability, billing) and experience migrating or operating workloads across multiple cloud providers

Proficiency in one or more backend languages (TypeScript/Node.js, Go, Python, Java) and comfort working full-stack when needed

Hands-on experience calling or hosting generative-AI models (OpenAI, Bedrock, Vertex, Hugging Face) with understanding of prompt design, token costs, rate limits, and basic RAG patterns