Senior Full Stack Engineer

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. As a Senior Full Stack Engineer, you will design and build intuitive product experiences that enable non-technical users to interact with sophisticated data and AI systems, collaborating with cross-functional teams to deliver end-to-end features.

Responsibilities:

• Architecting and developing end-to-end product features across frontend and backend systems
• Building highly interactive user interfaces that surface complex data and insights in intuitive ways
• Partnering closely with product and design teams to translate real-world user needs into scalable solutions
• Integrating machine learning models and analytics into user-facing product experiences
• Designing APIs, data models, and backend services that power modern SaaS applications
• Building high-quality frontend systems using modern frameworks and best practices
• Contributing to technical architecture decisions and helping scale the engineering platform
• Collaborating with customers and internal stakeholders to rapidly iterate on new product capabilities

Requirements:

• 3–8 years of software engineering experience, ideally working on product-driven SaaS platforms
• Experience building full stack applications with modern frontend frameworks and scalable backend services
• Strong experience with TypeScript and React
• Solid understanding of backend development, API design, and data modeling
• Experience building and shipping CRUD-based applications and complex frontend interfaces
• Familiarity with SQL, databases, and system design principles
• Experience working closely with product managers and designers to deliver user-facing products
• A track record of ownership and growth across previous engineering roles
• Strong communication skills and the ability to collaborate across cross-functional teams
• Experience working at high-growth startups or venture-backed SaaS companies
• Familiarity with Go or other backend languages
• Experience building data-heavy or analytics-driven products
• Exposure to machine learning systems or AI-powered applications
• Experience building experimentation platforms, marketing technology, or data infrastructure tools
• A technical background in Computer Science, Mathematics, Physics, Statistics, or Engineering