Description
About the Role:
Lead a small engineering team building high-volume, data-intensive systems that transform complex enterprise data into accurate, machine-readable outputs. You’ll work closely with the founder on architecture and own system reliability, scalability, and correctness.
What Makes This Role Different:
This is not a pure people-management role. You’ll remain deeply hands-on with architecture, production systems, and technical decisions. You’ll also be expected to operate effectively in ambiguity and challenge existing architectural decisions when needed.
What You’ll Own:
- Drive architecture across TypeScript/NestJS workflows and Python data/AI services
- Build reliable long-running workflows with durable execution, retries, and idempotency
- Design scalable data processing using Polars, DuckDB, Parquet, and streaming
- Build evaluation and regression frameworks to measure AI/system accuracy
- Own production systems running in customer cloud environments
- Lead hiring, code reviews, technical decisions, and mentor engineers
- Maintain clean boundaries between workflow orchestration, AI/agent execution, and bulk data processing
What We’re Looking For:
- 5–7 years building backend, distributed, or data-intensive systems
- Strong expertise in Python or TypeScript, with working proficiency in the other
- Experience taking systems from design → production → ongoing ownership
- Strong understanding of distributed systems, retries, idempotency, failures, and long-running workflows
- Hands-on experience with high-volume data processing
- Engineering leadership experience — mentoring, reviewing, and raising technical standards
- Strong focus on correctness, observability, and production reliability
Strong Plus:
- Temporal or similar workflow orchestration platforms
- LLM/AI systems with measurable evaluation
- Polars, DuckDB, Arrow, Parquet
- Azure and enterprise cloud environments
- LangGraph / agentic workflows
- Docker, Terraform/Bicep, OpenTelemetry
Tech Stack:
Python · TypeScript · NestJS · Temporal · LangGraph · Polars · DuckDB · Parquet · Pydantic · PostgreSQL · Redis · Azure · Docker · Terraform/Bicep · React
Requirements added by the job poster
• 5+ years of work experience with Python (Programming Language)
• 5+ years of work experience with Apache Kafka