Talent.com
Full-Stack Backend Engineer

Full-Stack Backend Engineer

MindHive | AI Workforce Automation, AI Forecasting and AI ChatbotsSubang Jaya, Selangor, Malaysia
2 hari lalu
Penerangan pekerjaan

Mindhive is a rapidly growing AI startup dedicated to transforming industries through advanced AI solutions. Our team, composed of data engineers, product managers, and thought leaders, is committed to developing AI products that help clients reduce costs, improve operational efficiency, and boost revenue.

Role Overview

We’re looking for a highly competent backend‑leaning full‑stack engineer who can confidently own API, service, and database layers—and work in a fast‑moving team environment where logic, clarity, and maintainability matter more than fancy frameworks.

Key Responsibilities

  • Design, build, and maintain REST APIs using FastAPI or the Frappe Framework (ERPNext)
  • Write clean service‑layer logic and reusable business functions
  • Define and manage Pydantic / Schema models for request / response validation
  • Integrate and optimize both SQL (PostgreSQL / MariaDB) and NoSQL (Redis / MongoDB etc.)
  • Implement async and sync execution patterns properly (e.g., Celery workers, background tasks)
  • Contribute to modular, maintainable codebases with clear separation of concerns
  • Collaborate with frontend and product teams to translate requirements into workflows
  • Participate in code reviews, architecture discussions, and feature planning

Must‑Have Skills

  • Strong experience with Python and FastAPI / Frappe or similar backend frameworks
  • Solid understanding of API design, dependency injection, and modular architecture
  • Hands‑on experience with Celery, RQ, or async task queues
  • Solid grasp of database design, migrations, ORM usage (SQLAlchemy / Frappe ORM)
  • Familiarity with both SQL and NoSQL database trade‑offs
  • Logical, systematic, and efficient problem‑solving mindset
  • Comfortable working collaboratively in an agile or fast‑paced team
  • Bonus (Good to Have)

  • Experience with microservices, message brokers (RabbitMQ / Redis), or Redis caching
  • Familiarity with ERPNext or similar enterprise data systems
  • Exposure to DevOps pipelines or containerized deployments (Docker, AWS, etc.)
  • Seniority Level

    Entry level

    Employment Type

    Full‑time

    Job Function

    Engineering and Information Technology

    Industry

    IT Services and IT Consulting

    #J-18808-Ljbffr

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