Zapier - Senior Software Engineer, Enterprise Zone
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:date: 2025-11-15

To Zapier:

Top 5 reasons my experience aligns with building enterprise workflow automation at scale:

**1. Enterprise-scale backend systems**: At Remind (2017-2020), scaled infrastructure for 60+ Python microservices supporting 30M users during COVID-19 lockdowns when distance learning demand exploded. Managed AWS services (ECS, EC2, RDS, DynamoDB, SQS, CloudFormation) ensuring critical communication services stayed online for millions of teachers & students. This experience directly translates to Zapier's Enterprise Zone—where reliability & scale matter for the largest companies automating mission-critical workflows.

**2. Python backend expertise & API design**: 15+ years building production Python services (Flask, Pyramid, SQLAlchemy, uWSGI). Architected complete SaaS platforms from scratch (https://makepostsell.com, https://remarkbox.com, https://uncloseai.com) including database modeling, API design, & deployment pipelines. Designed RESTful & streaming APIs handling real-time events. This foundation enables me to build robust backend architectures for Zapier's asset management APIs, enterprise admin tools, & observability platforms.

**3. Observability & incident response**: Introduced Datadog at Remind with EC2 agents for container APM, logs, & custom metrics—establishing monitoring & alerting strategies that maximized uptime & reduced incident response times. Built dashboards for service health, traced performance bottlenecks across distributed systems, & debugged production issues efficiently. This experience aligns perfectly with Zapier's Observability Platform Team & Enterprise Response Team needs, ensuring enterprise customers have visibility into their automation workflows & fast resolution when issues arise.

**4. Event-driven architecture & async systems**: Designed & maintained microservice architectures communicating via AWS SQS, handling async job processing, webhooks, & real-time data flows. Built CI/CD pipelines for automated deployments across multiple environments. At https://uncloseai.com, architected streaming inference endpoints supporting websockets & server-side events for 42 programming languages. Event-driven systems are core to automation platforms—this experience ensures I can build reliable, scalable workflow execution engines.

**5. AI tooling & ownership mindset**: https://uncloseai.com runs community ML inference at scale for text, voice, TTS, & coding models. At https://coursemojo.com, kept AI algorithms safe for 60,000+ students in public middle schools (both student & teacher-facing AI assistants). Bootstrapped multiple SaaS platforms demonstrating bias toward action & comfort with ambiguity—turning loosely defined problems into shipped products. Zapier's Asset Management Team embedding AI technologies benefits from engineers who've shipped AI-powered features to production & understand the unique challenges of making AI reliable for enterprise customers.

The opportunity to work on enterprise automation that changes how the largest companies operate combines meaningful impact with technical challenge. Zapier's mission to make automation accessible resonates deeply—I've spent my career building tools that empower users (teachers automating classroom workflows, creators selling products, developers accessing ML models). I'm excited to bring my Python expertise, distributed systems experience, & customer empathy to help Zapier's enterprise customers automate at scale.

Russell Ballestrini
russell@ballestrini.net
860-333-3047
https://russell.ballestrini.net
