Fullstack Engineer (AI, Distributed Systems, Automation)

Web Impact is a company working on high-scale SaaS systems processing hundreds of millions of events daily, focusing on real-time pipelines and data-heavy workloads. The role involves collaboration with engineers, AI specialists, and product managers, emphasizing innovation and fast execution.

• 3+ years of professional full-stack experience
• Strong frontend skills in React.js / Next.js
• Solid backend experience with Node.js (NestJS preferred)
• Experience integrating external APIs (auth, pagination, retries, rate limits)
• Experience working with async processing, queues, and background jobs
• Hands-on experience with modern AI tools (OpenAI, Claude, Cursor, etc.)
• Good SQL skills (PostgreSQL preferred)
• Understanding of building reliable systems (error handling, retries, observability)
• Strong communication skills and ability to work cross-functionally
• Fluent in English and Polish

Nice to have:

• Experience with Rust (async, Tokio, Axum)
• Experience with Elixir (Phoenix LiveView, GenServer)
• Understanding of distributed systems and architectures
• Experience with multi-region deployments and geo-distributed infrastructure
• Experience building systems with high parallelism (many workers processing jobs concurrently)
• Familiarity with distributed databases and data consistency trade-offs
• Experience with multi-tenancy architectures (tenant isolation, scaling strategies)
• Experience working with high-throughput event pipelines

• Own and deliver end-to-end features across SaaS products and internal tools
• Build modern, high-performance frontends using Next.js and React.js
• Develop scalable backend services using Node.js / NestJS
• Design and integrate APIs (REST, WebSockets, external services)
• Build and maintain automation workflows and background jobs
• Work with async systems, queues, and event-driven architectures
• Integrate third-party services with real-world constraints (rate limits, retries, auth flows)
• Use AI tools to improve development speed, testing, and automation
• Collaborate directly with product, data, and leadership teams
• Take full ownership of problems from idea to production
• Ship fast, test in real conditions, and iterate based on outcomes
• Prioritize execution over perfection, emphasizing speed