[Hiring] Software Engineer, Platform Engineering @24-MAG

Role Description

We are sharing a specialised full-time remote opportunity for experienced Software Engineers with strong expertise in platform engineering, full-stack development, backend architecture, 0-to-1 product development, and AI-native software engineering to contribute to the design and development of scalable technology platforms and AI-powered products.

Selected professionals will own engineering solutions from initial problem discovery and architectural design through implementation, deployment, and continuous improvement. The role combines hands-on software development with product thinking, system design, technical decision-making, and AI-assisted engineering workflows. Successful candidates will bring experience developing production systems in fast-moving environments and translating evolving business requirements into reliable, scalable software solutions.

Qualifications

• 4+ years of professional software engineering experience
• Strong foundation in full-stack development and backend systems
• Demonstrated expertise in software architecture, system design, and production application development
• Proven experience building products from concept to launch in 0-to-1 engineering environments
• Experience working as an early engineering team member at a startup or similarly fast-moving technology organisation
• Strong understanding of backend architecture, API design, databases, data modelling, and software integrations
• Practical experience developing applications using modern programming languages, frameworks, and development tools
• Strong product-oriented mindset, including an understanding of user requirements, business objectives, and product development priorities
• Strong analytical reasoning, technical problem-solving, communication, and independent decision-making capabilities

Requirements

• Ability to design reliable, scalable, maintainable systems and evolve technical architecture alongside product requirements
• Active experience using AI coding tools such as Cursor, Claude Code, or equivalent solutions in daily development workflows
• Experience making architectural and technical decisions independently while balancing engineering trade-offs
• Demonstrated ability to translate ambiguous requirements into structured, production-ready software solutions
• Strong understanding of modern software engineering practices, testing, debugging, deployment, and iterative development
• Hands-on approach to solving technical problems and delivering functional software efficiently
• Experience building AI-powered products, agentic workflows, or LLM-integrated applications is advantageous
• Familiarity with internal platform development, developer tooling, or workflow automation systems is beneficial
• Knowledge of cloud infrastructure, distributed systems, and scalable backend architectures is advantageous
• Experience evolving technical systems through different stages of startup growth is highly relevant
• Previous collaboration with founders, product leadership, or cross-functional startup teams is beneficial
• Ability to take ownership of engineering initiatives from initial planning through deployment and continuous improvement

Benefits

• Engagement Type: Full-time
• Work Arrangement: Fully remote
• Compensation: $200,000–$300,000/year
• 1 available opening
• Specialised software engineering role spanning platform architecture, full-stack development, backend systems, and AI-native product engineering
• Experience Requirement: 4+ years of professional software engineering experience
• Technical Focus: System design, software architecture, 0-to-1 development, backend engineering, APIs, databases, and AI-assisted programming
• Work will involve end-to-end ownership of software products, internal platforms, and AI-powered engineering workflows
• Responsibilities will include technical design, implementation, deployment, system optimisation, and ongoing product iteration
• Professionals will collaborate with product, design, operations, and engineering stakeholders
• Experience in early-stage or high-growth startup environments is particularly relevant
• Practical proficiency with AI coding assistants and modern software development practices is expected