Full Stack Developer (Low/No-Code Platforms)

Full Stack Developer

Key Responsibilities:

• Cloud Infrastructure Management:

  Design, deploy, and manage secure cloud infrastructure using

  AWS

  or

  GCP

  . Implement

  CI/CD

  pipelines, monitoring, and backups to ensure smooth, efficient deployments.

• MVP Development:

  Build and iterate the

  Minimum Viable Product (MVP)

  using

  n8n

  ,

  Make.com

  , and similar low/no-code tools, ensuring rapid feature deployment.

• Automation & Workflows:

  Leverage

  n8n

  ,

  Make.com

  , and other low-code platforms to design and automate workflows that support the AI-driven platform’s features.

• Security Best Practices:

  Implement and enforce security practices across cloud infrastructure, including

  IAM

  ,

  secrets management

  ,

  network security

  , and

  compliance

  protocols.

• Custom Code Development:

  Use

  Python

  for creating custom connectors and functions to extend the capabilities of low-code platforms as needed.

• Collaboration & Communication:

  Work closely with cross-functional teams to ensure alignment and achieve development goals. Communicate effectively in

  English

  (written and verbal) for team collaboration and documentation.

Must-Have Skills & Experience:

• 4+ years

  of experience in

  full-stack development

  with a focus on building scalable and secure platforms.

• DevOps/SRE Expertise:

  Strong background in

  Docker

  ,

  Linux

  ,

  Terraform

  or

  Pulumi

  , and networking (including

  VPC

  and

  networking

  ).

• Hands-on Experience with Low/No-Code Platforms:

  Experience using

  n8n

  ,

  Make.com

  ,

  Lovable

  , or similar automation tools to build and deploy features.

• Proficiency in Python:

  Experience with

  Python

  for building custom connectors/functions and extending automation workflows.

• Excellent Communication Skills:

  Strong written and verbal

  English

  skills for effective communication within cross-functional teams.

Good-to-Have Skills & Experience:

• Exposure to

  vector databases

  ,

  RAG

  (Retrieval-Augmented Generation), or fine-tuning

  Large Language Models (LLMs)

  .

• Microservices or Serverless Architecture

  : Experience migrating prototypes to microservices or serverless environments.