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

24-Mag

  • New York, New York
  • 15 days ago
  • Remote

    Highlights

    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. Successful candidates will bring experience developing production systems in fast-moving environments and translating evolving business requirements into reliable, scalable software solutions.

    Numbers & Facts

    LocationNew York, New York (
    Remote
    )
    Website4-mag.com/privacy-policy

    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.

    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.

    By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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