Fijoya- Backend Developer

2 weeks ago


Tel Aviv, Tel Aviv, Israel Team8 Full time

About Fijoya

Fijoya builds modern infrastructure for benefits and healthcare payments, sitting at the intersection of fintech, healthcare, and employee benefits. We're a fast-moving startup focused on reducing complexity and improving how people pay for coverage.

Responsibilities

  • Design, build, and own backend systems powering complex, LLM-driven, and agentic product experiences.
  • Architect and implement scalable, reliable backend services for production use.
  • Work closely with product, data, and engineering to translate ambiguous requirements into robust technical solutions.
  • Design systems that balance performance, cost, reliability, and iteration speed.
  • Own and improve CI/CD pipelines, deployment processes, and production reliability.
  • Drive best practices around code quality, testing, observability, and security.
  • Take technical ownership of critical systems and guide architectural decisions.
Requirements
  • 3+ years of professional backend engineering experience, including production systems at scale.
  • Proven experience building and operating customer-facing, LLM and agent-based applications in production.
  • Experience designing and implementing complex backend logic and stateful workflows.
  • Hands-on experience with cloud-based architectures and scalable backend infrastructure.
  • Experience designing and maintaining CI/CD pipelines and automated deployment workflows.
  • Experience scaling backend systems to support growing usage and evolving product requirements.
  • Strong problem-solving skills and comfort working with ambiguity and fast iteration.
  • Excellent communication skills and ability to collaborate across disciplines.

Nice to have

  • Experience working on user interfaces for both web and mobile applications.
  • Familiarity with the fintech domain, including payments, financial workflows, or transaction-based systems.
  • Experience working with data, including analytics, data pipelines, experimentation, or data-driven decision-making.

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