Software Engineer (Python, React, TypeScript)

Cargobase Pte Ltd; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid working environment

Health Insurance

21 days annual leave

Flexi Benefit

Service Leave

Job summary

Cargobase is seeking an experienced, hands-on full-stack engineer to ship across the stack and help build AI-native features. You’ll own end-to-end development from UI to services, focusing on delivering value for enterprise customers.

Based in Kuala Lumpur, you’ll collaborate with Product and QA, guiding frontend and backend work, and enabling data extraction from unstructured sources with agentic AI. We work with Python, React, Docker, Kubernetes, and AWS EKS.

Qualifications

• 5+ years of experience shipping production software as a full-stack engineer.
• Strong frontend with React and TypeScript; strong backend with Python frameworks.
• Experience with relational and NoSQL databases data modeling.
• Proficient in Docker and Kubernetes; comfortable in containerized environments.
• Familiarity with AI-native workflows and agentic tooling.

Responsibilities

• Own end-to-end features from design to production across UI and services.
• Integrate agentic AI into the product, including data extraction from unstructured sources.
• Lead code reviews and collaborate with Product and QA to turn customer needs into solutions.

Skills

Full-stack software engineering

React

TypeScript

AI-native

CI/CD practices

Data modeling (relational & NoSQL)

Tools

Python

Django

FastAPI

Flask

Docker

Kubernetes

AWS (EKS)

Cursor

Claude Code

Job description

About Cargobase

Cargobase is changing how enterprise shippers like Bosch, Reckitt Benckiser, Goodyear, and Textron, along with logistics providers like DHL, DSV, and FedEx, run spot-buy freight. This is a multi-billion dollar corner of logistics, and we're bringing the whole process online: quoting, tracking, invoice audit, and data insights.

Role Overview

We're looking for an experienced, hands-on full-stack engineer who loves shipping across the stack and working AI-natively. You'll be a core builder on our small, high-trust team, helping us build agentic AI right into the product. You'll write the features our enterprise customers rely on and help set the technical bar for how we build and review code.

Key Responsibilities

1. Technical Ownership & Execution

• Ship meaningful full-stack features end to end, from design through to production, spanning both the UI and the services behind it.
• Bring agentic AI into the product (for instance, extracting structured data from unstructured sources like emails and documents) and help figure out where AI genuinely makes the experience better.
• Keep the codebase healthy through pragmatic architecture, sensible data modeling across relational and NoSQL stores, and a steady habit of tackling tech debt.

2. Process & Operational Excellence

• Work AI-natively by using agentic coding tools like Cursor or Claude Code fluently, applying them with smart, context-aware judgment rather than brute force.
• Help shape the engineering practices and standards that keep us shipping quickly and reliably.

3. Internal & Cross-Functional Collaboration

• Level up the whole team through thoughtful, high-quality code reviews, setting the bar for how we build and review.
• Work closely with teammates and partners across Product and QA, turning real customer needs into solid technical solutions.

Requirements

We're looking for someone who is:

• You have over 5 years of experience shipping production software as a full-stack engineer, with a genuine balance between frontend and backend work.
• On the frontend, you're strong with React and TypeScript, with enough depth to guide and review frontend work effectively.
• On the backend, you're strong with Python and have experience with Django, FastAPI, or Flask.
• You're comfortable with data modeling across both relational and NoSQL databases.
• Working with Docker and in containerized environments like Kubernetes feels like second nature to you.
• You already work AI-natively, or you have a clear enthusiasm and fluency for that way of working.

Nice to have

• It's a bonus if you've built agentic or LLM features into a product: things like RAG, vector search, structured extraction, or agent tool-calling, even if just through side projects.
• Experience with AWS (especially EKS), CI/CD ownership, and observability tools is definitely a plus.
• A background in enterprise B2B SaaS is great, especially if it's in logistics or supply chain.

Our Stack

We use Python (Django, FastAPI, Flask), React, and TypeScript. Our data lives in relational and NoSQL databases, and we run on Docker and AWS (EKS) with solid CI/CD. We also love AI-native tools like Cursor and Claude Code.

What We Offer

• Exposure to global enterprise customers across Europe and North America
• Hybrid working environment
• Competitive salary with performance incentives
• Friendly and international work environment
• Service Leave
• Health Insurance
• 21 days of annual leave
• Flexi Benefit