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Full-Stack Engineer — AI-Native / Technical SEO
Education
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or another technical discipline.
Profile
- Strong full-stack engineer with excellent fundamentals in software architecture, system design, APIs, databases, scalability, networking, caching and distributed systems.
- AI-native: comfortable using coding agents and modern AI tooling to accelerate development, while still being able to design, reason about, debug and build systems independently.
- Technology-agnostic, with strong proficiency in a modern high-level backend language such as Go, Java, C# or Kotlin, alongside TypeScript/JavaScript for frontend development.
Key technologies & knowledge
- Modern frontend frameworks such as React / Next.js.
- REST APIs, asynchronous systems, PostgreSQL/SQL, Redis, Docker, CI/CD and cloud infrastructure.
- Strong understanding of scalable, secure and maintainable production architectures.
- Technical SEO: site architecture, crawlability, indexing, structured data, canonicalisation, redirects, sitemaps, Core Web Vitals, SSR/SSG and performance optimisation.
- Comfortable integrating LLMs, AI APIs and agentic capabilities into production applications.
- Nice to have: experience building or working with data pipelines, ETL/ELT workflows, event streams or large-scale data processing systems.
Work arrangement
Yes
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