Software Engineer — Python, JavaScript and No-Code Automation

1 week ago

Bedfordview, Gauteng, South Africa Atlas AI Full time R600 000 - R1 800 000 per year

About the role

We are looking for a hands-on Software Engineer who is fluent in Python, JavaScript and JSON, and who enjoys building real-world automations using no-code and low-code tools such as
n8n
and
Lovable
. You will design, ship and maintain internal and client-facing workflows, APIs and lightweight apps that remove manual work, improve reliability and unlock growth.

What you will do

  • Architect, build and maintain automations and microservices in Python and JavaScript, orchestrated via n8n, Lovable and related platforms.
  • Integrate third-party systems using REST APIs, webhooks and OAuth2; normalise JSON payloads and handle retries, idempotency and error paths.
  • Design pragmatic data models and connectors across Postgres, Airtable and spreadsheets; write clean SQL for reporting and audits.
  • Develop small web front-ends where needed using React or for operator dashboards and client portals.
  • Set up CI/CD, testing and monitoring so flows are observable, recoverable and cost-efficient.
  • Produce clear technical documentation and change logs; collaborate with non-technical stakeholders and clients.
  • Keep security and privacy front-of-mind, including POPIA-aligned handling of personal information.

What you will bring

  • 3+ years professional software engineering experience.
  • Strong practical skill in
    Python
    ,
    JavaScript
    and working with
    JSON
    structures.
  • Proven experience building automations with tools such as
    n8n
    ,
    Lovable
    ,
    Zapier
    ,
    Make
    or similar.
  • Comfortable designing and consuming RESTful APIs, handling auth, rate limits and pagination.
  • Solid Git workflow, code reviews and test discipline (
    pytest
    ,
    Jest
    or similar).
  • Working knowledge of SQL and at least one relational database.
  • Containerisation basics with Docker and deployment to a major cloud (AWS, GCP or Azure).
  • Excellent written and verbal communication, with the ability to explain technical trade-offs simply.

Nice to have

  • React or UI experience.
  • Experience with AI-powered features or tooling, vector stores and embeddings.
  • Background in consulting, agency or client-facing delivery.
  • Observability stacks such as Prometheus, Grafana, OpenTelemetry, ELK.
  • Basic DevOps and cost-monitoring instincts for lean environments.

Tools you'll likely touch here

Python, JavaScript, n8n, Lovable, REST APIs, Webhooks, OAuth2, JSON, Postgres, Airtable, GitHub, Docker, AWS or GCP, pytest, Jest.

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