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Grand

Founding Backend Engineer, Java

Grand

Founding Backend Engineer (Java) designing backend systems for Grand's fintech platform. Collaborating with teams in a hybrid setup and responsible for backend services.

Posted 5/25/2026full-timeDublin • 🇮🇪 IrelandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSJavaSpringSpring BootSpringBoot

About the role

Key responsibilities & impact
  • Design and build Java services and APIs that power Grand and the customer-facing product
  • Model the data that powers our product — turning messy external signals into a coherent product surface
  • Build event-driven pipelines that ingest, transform, and enrich data from external sources
  • Operate production systems with a security-first mindset — regulated data, audit, compliance
  • Design APIs and data models that hold up under real distributed concerns: latency, retries, idempotency, partial failure
  • Build search, indexing, and query systems at scale
  • Integrate AI capabilities into backend workflows where they make the product meaningfully better
  • Make product decisions on what to build and how, in collaboration with founders and other engineers
  • Use AI-assisted development tools to accelerate coding, testing, and refactoring
  • Own features through their full lifecycle, from idea → production → iteration

Requirements

What you’ll need
  • Strong backend experience building production systems in Java with a modern framework (Micronaut, Spring Boot, Quarkus or similar)
  • Experience designing APIs, modelling data, and reasoning about distributed concerns (latency, retries, idempotency, failure handling)
  • Experience shipping and operating software in AWS-based production environments
  • Experience with event-driven or message-based architectures in production
  • Experience building products in fintech, payments, credit, identity, KYB, or another regulated/financial environment
  • Security, data-protection, and compliance awareness when building production systems
  • Familiarity with CI/CD workflows
  • Experience working in startup or 0→1 environments
  • AI-first mindset, using modern tools to increase velocity responsibly

Benefits

Comp & perks
  • Excellent Salary: Competitive and reflective of impact and responsibility
  • Equity: Meaningful ownership in a long-term company
  • Hybrid Work: At least 3 days in our Dublin office, with extended remote on request — outcomes matter more than optics
  • Health Insurance & Pension: Comprehensive cover
  • Holidays: Generous holiday allowance
  • Equipment: High-end spec laptop and setup of your choice

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Hard Skills & Tools
JavaMicronautSpring BootQuarkusAPI designdata modelingevent-driven architectureAWSCI/CDAI integration
Soft Skills
collaborationdecision makingproblem solvingadaptabilitycommunication