Software Engineer | Mandaluyong (Hybrid)

PM Consulting; Mandaluyong; Hybride; PHP 781 000 - 1 228 000; Plein temps

Résumé du poste

PM Consulting is seeking a Software Engineer in Mandaluyong to develop and maintain its AI system components. You will work across backend and frontend, build APIs, and collaborate with data and AI teams to integrate models into core systems.

The role requires 3–5 years of hands-on development, proficiency in Python/JS/TS, and experience with React/Angular/Vue. You will participate in agile processes and mentor peers, ensuring code quality and scalable design.

Qualifications

• Bachelor’s degree required in CS/Engineering or related field.
• 3–5 years hands‑on software development across backend/frontend.
• Proficiency in Python, JavaScript, or TypeScript.
• Experience with modern frontend frameworks (React/Angular/Vue).
• Experience building and integrating APIs (REST/GraphQL).
• Strong problem solving, debugging, and analytical skills.
• Familiarity with agile methodologies and cross‑functional teamwork.
• Proven track record of owning features end‑to‑end from design to deployment.
• Excellent communication and ability to explain trade‑offs clearly.

Responsabilités

• Develop and maintain backend and frontend software components.
• Build and manage robust APIs and integration points (REST, GraphQL).
• Collaborate with data and AI teams to integrate AI models into systems.
• Ensure code quality through unit and integration testing.
• Provide technical leadership on architecture and design decisions.
• Mentor developers through code reviews and knowledge sharing.
• Champion code quality, scalability, and architecture best practices.
• Work with product/design/data teams to translate requirements into solutions.
• Support agile processes from an engineering perspective.

Connaissances

Backend development

Frontend development

API design

Python

JavaScript/TypeScript

REST/GraphQL

APIs

Communication

Agile

Formation

Bachelor’s degree in Computer Science, Engineering, or a related field

Outils

React

Angular

Vue.js

Description du poste

Software Engineer

• Location: Mandaluyong
• Work Schedule: Hybrid (2 Days Onsite, 3 Days Work From Home)

Job Description

We are looking for a Software Engineer who can develop and maintain the software components of our AI system. The ideal candidate is able to execute independently, make sound engineering decisions, and bridge technical excellence with business goals.

Key Responsibilities

• Develop and maintain backend and frontend software components.
• Build and manage robust APIs and integration points (e.g., REST, GraphQL).
• Collaborate with data and AI team members to seamlessly integrate AI models into core systems.
• Ensure code quality, reliability, and functionality through unit and integration testing.
• Provide technical leadership by making architectural, system design, and trade-off decisions.
• Mentor and guide fellow developers through regular code reviews and knowledge sharing.
• Champion best practices in code quality, system scalability, and architecture design.
• Work cross-functionally with product, design, and data teams to translate requirements into technical solutions and assess potential risks.
• Support and contribute actively to agile development processes from an engineering perspective.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3–5 years of hands‑on software development experience across backend and/or frontend domains.
• Proficiency in core programming languages such as Python, JavaScript, or TypeScript.
• Familiarity with modern frontend frameworks (e.g., React, Angular, or Vue.js).
• Proven experience in API development, integration, and designing end-to-end system architectures.
• Strong problem‑solving, debugging, and analytical skills.
• Deep understanding of agile methodologies and cross‑functional team collaboration.
• Demonstrated track record of owning features or systems end‑to‑end from technical design to deployment.
• Excellent communication skills with the ability to clearly explain technical decisions, trade‑offs, and design choices.
• Ability to effectively balance technical quality with project timelines and business needs.