Senior Software Developer

Hammerjack Pty Ltd; Cebu City; On-site; PHP 1,500,000 - 2,400,000; Full time

Job summary

MLhuillier Financial Services, Inc. is seeking a Senior Software Developer to join the engineering team in Cebu City. You will help build AI-enabled applications and modern development workflows with strong full‑stack expertise.

The role requires hands‑on experience with AI-assisted development tools, scalable backend systems, and modern front‑end frameworks. You will lead architecture discussions, ensure code quality, and mentor peers in leveraging AI to accelerate delivery while upholding high

Qualifications

• 7–10+ years of professional software development experience.
• Advanced Java and TypeScript across frontend and backend development.
• Strong experience with React.js and Next.js, including modern rendering strategies and state management.
• Proven experience building scalable backend applications using Node.js and NestJS.
• Strong knowledge of REST APIs, GraphQL, MySQL, and PostgreSQL.
• Experience with Docker, CI/CD pipelines, and cloud infrastructure/platforms.
• Hands‑on experience with AI coding assistants such as Cursor, GitHub Copilot, Claude Code, or similar tools.
• Ability to translate business requirements into detailed technical specifications for AI‑assisted development.
• Strong code review skills, including validation of AI‑generated code for security, scalability, maintainability, and performance.
• Expertise in prompt engineering and providing effective context to AI tools for accurate code generation.
• Experience designing, implementing, or maintaining agent‑driven development workflows and internal productivity tools.
• Ability to leverage AI to accelerate software delivery while maintaining high engineering standards.

Responsibilities

• Lead the design and planning of full‑stack applications before implementation begins.
• Act as the final gatekeeper for code quality, ensuring AI‑assisted output meets enterprise standards.
• Mentor junior developers on best practices for integrating AI into their daily workflows safely.
• Must know how to identify and resolve bottlenecks in both the application and the AI‑assisted pipeline.

Skills

Senior software engineering

Full-stack

Tools

Java

TypeScript

React.js

Next.js

Node.js

NestJS

MySQL

PostgreSQL

Docker

CI/CD

Cloud platforms

Job description

We are looking for a highly experienced Senior Software Developer to join our engineering team at MLhuillier Financial Services, Inc. and help us build the next generation of AI-enabled applications and development workflows.

This role is ideal for an engineer with strong full-stack expertise, modern development practices, and hands‑on experience with AI-assisted software development tools.

Core Technical Qualifications

• 7–10+ years of professional software development experience
• Advanced Java and Type expertise across frontend and backend development
• Strong experience with React.js and Next.js, including modern rendering strategies and state management
• Proven experience building scalable backend applications using Node.js and NestJS
• Strong knowledge of REST APIs, GraphQL, MySQL, and PostgreSQL
• Experience with Docker, CI/CD pipelines, and cloud infrastructure/platforms

AI-Native Development Qualifications

• Hands‑on experience with AI coding assistants such as Cursor, GitHub Copilot, Claude Code, or similar tools
• Ability to translate business requirements into detailed technical specifications for AI‑assisted development
• Strong code review skills, including validation of AI‑generated code for security, scalability, maintainability, and performance
• Expertise in prompt engineering and providing effective context to AI tools for accurate code generation
• Experience designing, implementing, or maintaining agent‑driven development workflows and internal productivity tools
• Ability to leverage AI to accelerate software delivery while maintaining high engineering standards

Key Responsibilities to List

• System Architecture: Lead the design and planning of full‑stack applications before implementation begins.
• Quality Assurance: Act as the final gatekeeper for code quality, ensuring AI‑assisted output meets enterprise standards.
• Technical Leadership: Mentor junior developers on best practices for integrating AI into their daily workflows safely.
• Performance Optimization: Must know how to identify and resolve bottlenecks in both the application and the AI‑assisted pipeline.