Product Infrastructure Engineer, Data & Agent Systems

Job Description

This is a backend-leaning infrastructure role for someone who can work across production data models, correctness-sensitive workflows, and agent execution systems. It is data-first in the near term: the primary focus is migrating Truewind from legacy data models into cleaner, more durable domain models while keeping live customer workflows working. As that foundation gets stronger, the role also expands into the execution infrastructure that lets AI agents safely complete real work.

Requirements

• 4+ years of experience in product infrastructure, backend engineering, data infrastructure, or distributed systems
• Strong experience with relational databases, schema design, migrations, and data integrity
• Experience building data pipelines, ingestion systems, transformation layers, or backend services around complex data models
• Experience with async jobs, queues, workflow engines, retries, idempotency, and failure recovery
• Strong coding ability in TypeScript, Python, Go, Rust, or similar
• Strong debugging instincts across data, backend, infrastructure, and workflow layers
• Good judgment around system boundaries, reliability, observability, and operational simplicity
• Comfort working in a startup where you may need to move between product features, infrastructure, data pipelines, and internal tooling
• Interest in building systems where AI agents do real work, not just generate text
• You have migrated a production system from one data model to another while keeping the product running
• You have built or maintained production data pipelines
• You have worked on systems where data correctness really matters
• You have designed validation gates, audit logs, approval flows, or data quality checks
• You have built workflow engines, internal platforms, automation infrastructure, or developer tools
• You have experience with multi-tenant SaaS systems
• You have worked with Postgres, Drizzle, Supabase, Temporal, Dagster, Airflow, Celery, BullMQ, Sidekiq, or similar systems
• You have worked with LLM agents, tool-calling systems, or human review workflows
• You enjoy turning messy real-world workflows into reliable, observable systems
• Experience with ERP, fintech, billing, payments, reconciliation, accounting, or financial data systems
• Experience integrating with messy third-party systems such as ERPs, banks, payment processors, CRMs, file storage systems, or document APIs
• Experience with sandboxing or isolated execution technologies such as E2B, Daytona, AWS ECS, Docker, Kubernetes, Firecracker, gVisor, cloud IDEs, CI runners, or similar systems
• Experience building agent runtimes, tool execution platforms, secure execution environments, or notebook/code execution infrastructure

Skills

• Backend Capable
• Data Correctness Mindset
• Moving Systems Forward Without Breaking Production

Benefits

• Competitive Salary Range: $180K - $200K
• Health Insurance
• Retirement Plans
• Flexible Work Arrangements
• Professional Development Opportunities

Pay

$180K - $200K

Schedule

Full-time