Full Stack Software Engineer

About Walk the Dragon

Walk the Dragon is an Australian startup launching the world’s first enterprise cognitive wellness platform, focusing on the whole individual beyond their workspace persona. Founded by Om Swami, a meditative entrepreneur and author, our team is passionate about advancing cognitive well-being to foster extraordinary personal and professional outcomes.

Role Overview

We seek a motivated, hands-on Full Stack Software Engineer dedicated to building and shipping end-to-end features across our employee platform, admin portal, backend APIs, and cloud infrastructure. This role is strictly office-based at 60 Martin Place, Sydney, reporting to the Engineering Lead. Full Australian working rights are required.

Responsibilities

• Manage feature development lifecycle from ideation through deployment for platform components spanning backend, frontend, and cloud.
• Draft clear specifications and collaborate with AI coding assistants like Claude Code to develop and test functionality while critically assessing AI outputs.
• Develop backend services using TypeScript, NestJS, Drizzle ORM, and PostgreSQL, ensuring maintainable and testable business logic.
• Build responsive, accessible front-end interfaces in React that adhere strictly to Figma designs.
• Thoroughly test features, deploy via AWS CodePipeline, and verify production stability.
• Proactively monitor production, address issues, review code contributions, and reduce technical debt.
• Maintain rigorous security and privacy standards to safeguard sensitive employee data.
• Stay current with AI methodologies and share relevant practices with the team.

Essential Qualifications

• Minimum five years of comprehensive experience delivering production web applications including backend and frontend development.
• Quickly adapt to new frameworks, tools, and AI-assisted development workflows.
• Consistently own and deliver features reliably with a track record of zero regressions.
• Expertise in TypeScript with strong proficiency in Node.js, React, and creation of web APIs.
• Competent in managing relational database design, migrations, and performance tuning.
• Proficient in utilizing AI coding assistants in real software projects with the keen judgement to identify AI inaccuracies.
• Strong habit of testing at unit, integration, and end-to-end levels, with discernment on test applicability.
• Experienced in CI/CD pipelines and debugging deployment issues.
• Excellent communication skills for collaboration within a compact, agile team.

Preferred Experience

• Familiarity with AWS cloud services and experience building cloud-native applications including containerized solutions and managed services.
• Skills in infrastructure-as-code with AWS CDK.
• Knowledge building multi-tenant SaaS platforms with enterprise SSO integrations.
• Understanding of security standards such as Australian Privacy Principles, SOC 2, or ISO 27001.
• Experience with analytics tools like PostHog and lifecycle or transactional email systems.
• Hands-on with LLM APIs and implementing custom AI agent architectures.
• Exposure to spec-driven development methodologies.
• Background in employee-facing enterprise tech, HR systems, wellness, or digital health solutions.

Success Metrics

• Delivering tested features on schedule through sprint cycles.
• Ensuring stable releases without regressions supported by comprehensive test coverage.
• Increasing delivery velocity via effective AI coding agent leveraging.
• Continuous enhancement of code quality and documentation standards.

Additional Information

This position requires on-site presence in Sydney five days per week and is not open for remote or hybrid arrangements. Candidates must hold full Australian work rights. Walk the Dragon is committed to equal opportunity and welcomes applicants irrespective of background or identity.

Application Instructions

Applicants should provide their CV and links to portfolios or GitHub profiles showcasing production software projects, full-stack involvement, and AI coding assistant usage examples including identification and resolution of AI inaccuracies.