1 month ago
Responsibilities
- Build and harden AWS serverless services using Lambda, Step Functions, EventBridge, SQS/SNS, API Gateway, and CloudWatch.
- Own architecture for lead intake, validation, enrichment, deduplication, reprocessing, routing, and personalization services.
- Design and evolve data models in DynamoDB and analytics models in Snowflake using strong SQL skills.
- Integrate lead flows with Salesforce, Marketo, identity and consent systems, and conversion-tracking platforms.
- Troubleshoot webhook and draft-generation pipelines involving Outreach and ALFA.
- Evaluate and integrate AI-powered enrichment and personalization capabilities, including prompt versioning, token budgeting, and output validation.
- Define technical requirements with BSA and platform teams and communicate trade-offs to Demand Gen, SDR leadership, and RevOps.
- Write Terraform and AWS infrastructure code and maintain secure, observable monitoring and alerting.
- Own operational SLIs/SLOs and security-by-design practices, including KMS, least-privilege IAM, and secret rotation.
- Mentor junior developers in the use of AI coding tools such as Claude Code and Cursor.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 8+ years of engineering experience in MarTech or enterprise systems.
- Hands-on experience with AWS serverless services, including Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS, and CloudWatch, plus Terraform or infrastructure-as-code.
- Proven database design experience with DynamoDB and analytics modeling experience with Snowflake and strong SQL skills.
- Experience integrating Salesforce, Marketo, and identity- and consent-aware data flows using resilient API patterns and error handling.
- Experience owning high-throughput validation, enrichment, deduplication, and reprocessing pipelines.
- Experience with operational SLIs/SLOs, AWS security-by-design, KMS, least-privilege IAM, and secret rotation.
- Experience with conversion tracking and attribution propagation across Google, Floodlight, Meta, LinkedIn, web, RMS/AvaForm, and backend systems.
- Experience building or integrating AI/ML-adjacent services such as LLM APIs, vector pipelines, or AI-driven enrichment and personalization tools.
- Excellent stakeholder communication skills and the ability to present technical trade-offs and lead technical breakdowns for non-engineering audiences.
- Active daily use of AI coding tools and willingness to mentor junior developers in their use.
Benefits
- Compensation package with potential bonus eligibility for eligible employees; compensation figures are not stated.
- Paid time off and paid parental leave.
- Private medical, life, and disability insurance may be available depending on location.
- Employee resource groups and an organizational commitment to diversity, equity, and inclusion.
About Avalara
Avalara builds cloud software that automates tax calculation, returns filing, exemption certificate management, and cross-border compliance for businesses, with deep integrations into e-commerce and ERP platforms. Founded in 2004 and headquartered in Durham, North Carolina, it is privately held and owned by Vista Equity Partners. The company sells SaaS subscriptions and managed filing services to help organizations comply with U.S. sales tax and international VAT/GST requirements.