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Thena

Posted 28 Aug 2026

Engineering Team Lead

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Employment
Full time
Team
Software Engineering
Posted
28 Aug 2026

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.


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.


Responsibilities:

  • 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.


Requirements:

  • 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 and 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.
  • Tech Stack: Python, TypeScript, NestJS, Temporal, LangGraph, Polars, DuckDB, Parquet, Pydantic, PostgreSQL, Redis, Azure, Docker, Terraform/Bicep, React


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.

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