Senior Software Engineer, AI-Assisted Full Stack Development

Forwood Safety

1d•Remote

About The Position

Forwood Safety is on a mission to make every shift safer and every workplace fatality-free. We build enterprise SaaS solutions that help organisations identify, manage and eliminate critical risks before serious incidents occur. Our engineering team embraces modern, AI-assisted development workflows to deliver high-quality software faster without compromising safety, security, or reliability. As a Senior Software Engineer, you will help design, build, and maintain high-impact front-end and back-end systems while using AI co-pilot tooling as a core part of your daily workflow. You will own end-to-end feature delivery across our React/Remix + TypeScript front end and NestJS/AWS microservices back end, while helping shape how AI is used across the engineering team to improve velocity, quality, and consistency. This is a 100% remote role based in Australia, working closely with teams in AU time zones.

Requirements

5–7+ years of professional software engineering experience, with strong full-stack capability.
Advanced experience with React, TypeScript, and modern frameworks such as Remix or Vite.
Strong back-end experience with Node.js/NestJS and microservice architectures.
Hands-on, daily use of AI co-pilot tools (Cursor, GitHub Copilot, Windsurf or similar).
Proven ability to validate, test, and secure AI-assisted code.
Solid experience with AWS (ECS, Lambda, RDS, S3, IAM, CloudWatch).
Experience building and maintaining CI/CD pipelines (GitHub Actions, Bitbucket Pipelines).
A production mindset with a strong focus on maintainability, security, and scalability.
Excellent communication skills and a genuine interest in mentoring others.
Based in Australia and able to collaborate effectively across AU time zones.

Responsibilities

Design, build, and ship high-impact features across React/Remix front-end applications and NestJS/Node.js back-end services.
Develop and maintain secure, scalable REST and GraphQL APIs and microservices deployed on AWS.
Own features end-to-end, from design and implementation through to production release and ongoing optimisation.
Use AI co-pilot tools (e.g. Cursor, GitHub Copilot, Windsurf) for code generation, refactoring, test creation, and documentation.
Develop and share effective prompt patterns and AI best practices to improve team productivity and code quality.
Validate and secure AI-assisted code through testing, reviews, and static analysis.
Write and maintain unit, integration, and end-to-end tests (Jest, React Testing Library, Playwright/Cypress).
Contribute to CI/CD pipelines with automated quality gates, security scanning, and rollback strategies.
Mentor engineers on strong engineering fundamentals and effective AI-driven development workflows.
Stay current with emerging AI tools and identify opportunities to improve delivery through AI-enabled solutions.