Node Developer

Compunnel

• $100K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong full-stack software development experience in both front-end and back-end.
  • Proficient in React and JavaScript for developing user interfaces.
  • Experience with Node.js for backend development.
  • Knowledge of AWS, especially with serverless solutions like AWS Lambda.
  • Familiarity with APIs, particularly GraphQL for data queries.
  • Strong understanding of software architecture and design standards.
  • Exceptional analytical skills and ability to troubleshoot complex issues.

Responsibilities

  • Design, develop, and deliver complete features using full-stack technologies.
  • Build applications utilizing React, JavaScript, Node.js, AWS, and GraphQL.
  • Leverage AI tools throughout the development lifecycle for coding and troubleshooting.
  • Review AI-generated code for security, maintainability, and adherence to standards.
  • Identify deeper architectural and design issues in generated code.
  • Translate business needs into actionable technical specifications.
  • Collaborate with small engineering teams to roll out production-ready features.

Benefits

  • Collaborative work environment with a focus on innovation and AI.
  • Opportunities to influence engineering standards and practices.
  • Engagement with cutting-edge technologies in full-stack development.
  • Support for ongoing professional development and learning in AI-assisted techniques.
Full Job Description
Job Summary The Node Developer will work as a Full Stack Developer within a fast-paced engineering environment focused on modern applications and AI-assisted development. The role requires strong front-end and back-end engineering capabilities across React, JavaScript, Node.js, AWS, Lambda, and GraphQL, along with the ability to evaluate and improve AI-generated code. The developer will work across the full technology stack, understand business requirements and domain context, troubleshoot complex issues, and ensure solutions meet production-level standards for architecture, quality, security, scalability, and maintainability. Key Responsibilities • Design, develop, test, and deliver full-stack application features across front-end and back-end technologies. • Build modern web applications using React, JavaScript, Node.js, AWS, Lambda, and GraphQL. • Work within an AI-enabled and agentic software development lifecycle, using AI across requirements analysis, specification development, implementation, and troubleshooting. • Review and validate AI-generated code for correctness, maintainability, scalability, security, and adherence to engineering standards. • Identify architectural, design-pattern, and code-quality issues that may not be apparent from simply executing generated code. • Translate product and business requirements into clear technical specifications and implementation plans. • Develop a strong understanding of the business domain to identify requirements, dependencies, edge cases, and potential issues early in the development lifecycle. • Work collaboratively in small engineering teams or pairs to deliver complete features from requirements through production. • Troubleshoot complex application issues across the full technology stack. • Communicate effectively with engineering teams, product partners, internal stakeholders, and clients. • Contribute to the continued development of engineering standards and AI-assisted development practices. Required Qualifications • Strong full-stack software development experience with solid knowledge of both front-end and back-end engineering. • Strong experience with React and JavaScript. • Experience developing backend applications using Node.js. • Experience working with AWS, including serverless technologies such as AWS Lambda. • Experience with APIs and technologies such as GraphQL. • Strong understanding of software architecture, design patterns, coding standards, and software development best practices. • Demonstrated ability to review, troubleshoot, and improve code rather than simply produce working code. • Ability to independently analyze requirements and identify technical considerations, dependencies, and potential gaps. • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills. • Ability to operate effectively in a fast-paced and evolving engineering environment. Preferred Qualifications • Experience using AI-assisted development tools or agentic AI development workflows. • Experience with tools such as Claude Code or comparable AI coding environments. • Experience using AI to synthesize requirements, generate specifications, implement features, troubleshoot issues, or accelerate development. • Familiarity with Human Capital Management (HCM), payroll, HR technology, or workforce management domains. • Previous experience with ADP or organizations operating in similar HCM/payroll environments. • Experience working on teams where engineers own complete features across the technology stack.

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