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Open nowFirst seen 27 hours ago

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

24-MAG343 open roles

Where
New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowRemote | Software Engineer, Platform Engineering — $200,000–$300,000/year24-MAG · New York, United States, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on 24-MAG's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. 24-MAG postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 27 hours ago

24-MAG median: 1 days open

The posting

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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