Job description

Portcast’s mission is to transform international supply chains to be more resilient by helping logistics companies realise the full potential of their data. We cater to both shipping lines and cargo airlines. This covers 90% of the world trade volume that travels via ocean and 35% of world trade value that travels via air.

We use proprietary machine learning algorithms and real-time external market data (such as economic indices, marine weather, satellite-based data, etc) to predict how much cargo will be shipped, when it will arrive and deliver actionable insights.

We are excited to be a fast-growing team of software engineers, data scientists and industry experts. Based out of Singapore, they’ve been building together since 2018, and are backed by some of the leading investors including Wavemaker Partners, Entrepreneur First, SGInnovate and Investigate VC.

About the role:

Being a Full Stack Developer, you will be joining Portcast’s predictive estimated time of arrival (ETA) product team. It’s a data heavy product that offers customers end-to-end visibility of their cargo at each step of the ocean movement. You will be involved in the full software development life cycle. From developing and further improving our web interface on the front-end; to building out a scalable back-end architecture and developing effective & secure APIs. This is an opportunity to accelerate learning of SaaS product design and development.

What You'll Do:

Work closely with the sales team and product team to understand product requirements for the customer and how that may be added to the product

Build new product features for the Web App/API services, handling both front-end and back-end architecture

Communicate with the customer or external vendors on data related matters and be involved in new customer pilots and on boarding

Requirements:

Good command of CSS, HTML, JavaScript, Python and Query language

Basic knowledge of Django and prototyping tools (Figma, Sketch, XD)

Remote Setup with a monthly stipend of ₹5,000 - ₹10,000 (depending on working hours commitment).

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