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Software Engineer, Data Platforms

micro1· Core team
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Remote$120k - $160k + equity + bonusFull-timePosted 1mo ago

About the role

AI-native fullstack engineer role building micro1's human data platforms, owning features end-to-end from backend services and data pipelines to frontends used by experts.

Responsibilities

  • Design and ship fullstack features across backend APIs, data pipelines, and React frontends.
  • Own client-facing data delivery and platform infrastructure, including exports, access control, and reliability.
  • Scope work around outcomes, direct coding agents—often in parallel—review changes at the architecture level, and iterate until shipped.
  • Build and maintain services in Python (FastAPI) and TypeScript.
  • Contribute to data modeling, schema design, and query performance across relational and document databases.
  • Partner with research engineering, operations, and product to translate platform needs into production-ready systems.
  • Improve the frameworks, checks, and evals that make agent-driven development faster without sacrificing quality.
  • Troubleshoot production issues and build resilient, observable systems.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience.
  • 0–5 years of software engineering experience, or strong shipped projects as a recent graduate.
  • Strong fundamentals in Python and TypeScript, with experience building CRUD applications using frameworks such as FastAPI/Flask and React.
  • Working knowledge of databases such as PostgreSQL, MongoDB, or SQLite and core data modeling principles.
  • Experience deploying services on a major cloud platform (GCP, AWS, or Azure).
  • Coding agents such as Claude Code, Cursor, or Codex are your default development workflow, and you can clearly explain how you use them.
  • Ability to turn outcomes into plans, direct agents, verify results, and identify architectural issues agents may miss.
  • Understanding of agent loops, MCP, tool/data integrations, permissions, and security.
  • Familiarity with context management, RAG, and evals for testing agent workflows.

Skills

Required:PythonTypeScriptReactCoding agentsFastAPI/FlaskPostgreSQL/MongoDB/SQLiteCloud deploymentSystems design
Nice to have:Context management/RAG/evals

Benefits

  • up to 100% reimbursement for health-insurance premiums
  • paid time off
  • a 401(K) plan with a company match
  • additional benefits designed to support a high-performing, remote-first workforce
Last updated Oct 18, 2026. Interested? Apply on the company site.

About micro1

Data lab to train frontier models & evaluate agents

We’re building the infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations.

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