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Remote | Software Engineer, Platform Engineering — $200,000–$300,000/year

24-Mag
1 day ago
Full-time
Remote
United States
$200,000 - $300,000 USD yearly

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.

Key Responsibilities

0-to-1 Product Engineering & Development

  • Design and build software products from initial concept through production launch and subsequent iterations
  • Translate business requirements, user needs, and ambiguous product ideas into practical engineering solutions
  • Take ownership of product development across discovery, technical planning, implementation, and deployment
  • Develop production-ready applications that balance functional requirements, usability, performance, and maintainability
  • Apply iterative development practices to deliver meaningful product improvements and support evolving business objectives

System Architecture & Backend Engineering

  • Design scalable and reliable software systems using appropriate architectural patterns and engineering principles
  • Develop and maintain backend services, APIs, databases, and integration components
  • Make informed technical decisions involving system architecture, data modelling, performance, and operational requirements
  • Evaluate architectural trade-offs involving implementation speed, simplicity, reliability, and long-term scalability
  • Continuously improve existing systems to support changing product requirements and operational demands

Full-Stack Development & Platform Engineering

  • Build and enhance internal platforms, developer tools, applications, and supporting technical infrastructure
  • Implement software functionality across frontend, backend, and integration layers using appropriate frameworks and technologies
  • Develop systems and workflows that improve operational efficiency and support business processes
  • Integrate internal services, external APIs, databases, and software components into cohesive technical solutions
  • Maintain code quality, system performance, and engineering reliability across production environments

AI-Native Development & Workflow Automation

  • Use AI-powered development tools to accelerate software implementation, debugging, testing, and technical problem-solving
  • Incorporate tools such as Cursor, Claude Code, or comparable AI coding assistants into daily engineering workflows
  • Develop and enhance AI-powered applications, internal automation tools, and intelligent software workflows
  • Evaluate opportunities to integrate AI capabilities into existing products, platforms, and operational processes
  • Apply engineering judgement to validate AI-assisted implementations and maintain high standards of software quality

Product Collaboration & Technical Ownership

  • Collaborate with product, design, and operations stakeholders to define requirements and establish implementation priorities
  • Contribute technical expertise to product decisions, architectural planning, and engineering strategy
  • Identify practical solutions to complex technical challenges and independently drive implementation
  • Evaluate feedback, operational needs, and product performance to guide continuous improvement
  • Take end-to-end ownership of engineering deliverables while supporting efficient development and deployment practices

Ideal Profile

  • 4+ years of professional software engineering experience, with a 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
  • 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
  • Strong product-oriented mindset, including an understanding of user requirements, business objectives, and product development priorities
  • 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
  • Strong analytical reasoning, technical problem-solving, communication, and independent decision-making capabilities
  • Ability to take ownership of engineering initiatives from initial planning through deployment and continuous improvement

Engagement Details

  • 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

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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