Principal Engineer

CodeRound; Hinoba-an; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

CodeRound, a fintech startup focused on education payments, is seeking a Principal Engineer (Python/Golang) in the Philippines to lead backend architecture and scalable systems.

You will drive technical strategy, mentor teams, and work with product and customers to deliver production-grade software, using AI to accelerate development and decision-making.

Qualifications

• 5+ years of backend engineering experience.
• Proven ability to design scalable architectures.
• Experience in Python and Go development.

Responsibilities

• Own end-to-end critical product initiatives.
• Define scalable architectures and technical direction.
• Write high-quality code across backend systems.
• Drive AI-enabled development and decision-making.

Skills

Python

Go

System design

Mentoring

Tools

AWS

Docker

Kubernetes

Job description

Client: A fintech startup transforming education payments by helping educational institutions automate fee collection and offering parents flexible payment options through a seamless digital platform.

Requirements:

We're looking for a Principal Engineer (Python/Golang) to lead the architecture and development of scalable, high-performance backend systems. In this role, you'll drive technical strategy, solve complex engineering challenges, mentor teams, and influence the overall technology roadmap while building reliable, production-grade software.

Responsibilities:

• -Own and deliver critical product initiatives end-to‑end.


• -Define scalable architectures and technical direction.


• -Write high-quality code across frontend and backend systems.


• -Take ideas from concept to production and drive measurable impact.


• -Make pragmatic technical decisions balancing speed, reliability, and maintainability.


• -Identify and address scaling, performance, and security challenges early.


• -Ensure systems are resilient, observable, and production‑ready.


• -Drive engineering excellence through strong testing, monitoring, and operational practices.


• -Champion simplicity and long‑term maintainability.


• -Work closely with product, design, and customers to solve real business problems.


• -Own outcomes rather than just implementation.


• -Drive execution in ambiguous and fast‑moving environments.


• -Use AI extensively to accelerate development, debugging, testing, and technical decision‑making.


• Help define best practices for AI‑enabled software development.