Staff Full-stack Incubation Engineer

Snyk Snyk · Enterprise · Lisbon Local, Portugal, Portugal · Remote

Staff Full-Stack Engineer to build transformative AI-native products from scratch, operating with startup agility. Role involves end-to-end product lifecycle ownership, including frontend UI, backend solutions, system architecture for AI applications, and data visualization. Requires strong experience in React, backend proficiency, and experience with GenAI/LLM systems.

What you'd actually do

  1. Design and implement highly responsive UI components and scalable backend solutions from scratch, owning the process from initial idea to shippable product.
  2. Lead the development of our AI-powered experience, ranging from intuitive agentic interfaces to complex data visualizations (charts, dashboards, and graphs) and deep platform integrations.
  3. Architect flexible, scalable, and secure systems for AI applications, leading peers in driving decisions on complex cross-cutting problems through clear design documents like RFCs.
  4. Ensure users can visualize and manipulate AI-generated data to explore insights, manage the full policy/issue lifecycle with clear traceability, and navigate large-scale risk exposure across systems.
  5. Build rapid prototypes to validate ideas, iterate based on customer feedback, and pivot quickly to achieve product-market fit.

Skills

Required

  • 8+ years of relevant software engineering experience
  • building scalable, high-performance applications from scratch
  • React JS and modern frameworks
  • enterprise-level user interfaces
  • Basic backend proficiency in modern coding languages
  • solid understanding of cloud-native design, containerization, and microservices
  • Experience with or passion for AI, especially GenAI/LLM systems
  • Demonstrated ability to lead multi-engineer efforts
  • drive complex initiatives to impactful business outcomes
  • articulate complex technical challenges to diverse stakeholders

Nice to have

  • early-stage products
  • engaging directly with customers
  • ambiguous technical challenges
  • resilient in fluid environments

What the JD emphasized

  • build transformative products from the ground up
  • founding engineer’s mindset
  • owning the end-to-end product lifecycle
  • Architect flexible, scalable, and secure systems for AI applications
  • Ensure the system efficiently handles and displays data from thousands or millions of repositories
  • 8+ years of relevant software engineering experience with a proven track record of building scalable, high-performance applications from scratch.

Other signals

  • AI-native Developer Security Platform
  • AI transforms how software is built
  • AI-powered experience
  • AI applications
  • GenAI/LLM systems