Sr. Enterprise Systems Engineer

Avalara's Marketing Technology team is looking for a senior engineer to own the backbone that turns every lead into a routed, enriched record: intake, validation, enrichment, and routing services, plus the Personalization Engine that powers sales collateral. Reporting into our Marketing technology IT teams, you'll be the technical authority for our leads engineering services team. Unlike backend roles buried in one product team, you'll own architecture end to end across AWS, giving you direct influence on design reviews and runway planning, not just ticket execution.

Most days you're building and hardening AWS serverless services (Lambda, Step Functions, Event Bridge, 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, Linked In/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 Rev Ops 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.

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 8+ years engineering in Mar Tech/enterprise systems, including hands-on AWS serverless (Lambda, API Gateway, Step Functions, Event Bridge, SQS/SNS, Cloud Watch) 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/Linked In) and attribution data propagation across web, RMS/Ava Form, 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.

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.

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…