Note: The job is a remote job and is open to candidates in USA. Avalara is a cloud compliance technology company developing AI-first solutions for tax and business processes. Avalara is seeking a senior engineer to own the architecture and operation of lead engineering services and a Personalization Engine across AWS, including lead intake, validation, enrichment, routing, and AI-powered personalization. The role partners with marketing, sales, revenue operations, business systems, and platform teams to deliver secure, observable, and scalable systems.
Responsibilities
- Most days you're building and hardening AWS serverless services (Lambda, Step Functions, EventBridge, SQS/SNS) that validate, enrich, and route leads from forms, paid social, events, and list uploads into Salesforce and Marketo. You'll design and evolve data models in DynamoDB and Snowflake, tune conversion-tracking flows across Google, Floodlight, LinkedIn/Meta CAPI, and troubleshoot the Personalization Engine's webhook and draft-generation pipeline with Outreach/ALFA. Along with evaluation and integration of AI-powered capabilities into lead enrichment and personalization pipelines, partnering with the BSA and platform teams to define technical requirements, owning prompt versioning, token budgeting, and output validation. You'll also meet with Demand Gen, SDR leadership, and RevOps to translate technical trade-offs into decisions they can act on, and you'll write the Terraform, AWS infrastructure code and monitoring/alerting that keep the whole system secure and observable
Skills
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 8+ years engineering in MarTech/enterprise systems, including hands-on AWS serverless (Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS, CloudWatch) and Terraform/IaC
- Proven database design across DynamoDB (keys/indexes/TTL/state) and analytics models in Snowflake; strong SQL
- Integration depth with Salesforce, Marketo, and identity/consent-aware data flows; resilient API patterns and error handling
- Experience owning high-throughput pipelines (validation, enrichment, dedupe, reprocessing) and operational SLIs/SLOs
- Excellent stakeholder communication; able to present trade-offs and lead technical breakdowns for non-engineering audiences
- Conversion tracking (Google/Floodlight/Meta/LinkedIn) and attribution data propagation across web, RMS/AvaForm, and backend
- Security-by-design in AWS (KMS, least-privilege IAM, secret rotation, privacy constraints)
- Experience building or integrating AI/ML-adjacent services (LLM APIs, vector pipelines, or AI-driven enrichment/personalization tools) into production serverless architectures
- Active use of AI coding tools (Claude Code, Cursor) as a daily engineering practice, mentoring Junior developers in these tools
- You'll bring experience using AI and AI-related technologies, ready to thrive here
Benefits
- Paid time off
- Paid parental leave
- Eligibility for bonuses
- Private medical insurance, varying by location
- Life insurance, varying by location
- Disability insurance, varying by location
Company Overview