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Cobol and SQL Mid Level Developer and Support Specialist
Version 1 —Dublin, County Dublin
24 days holiday allowance plus Public Holidays, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.
€350–€400 a day
Quick apply
1d

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Full Stack Engineer

Flutter Entertainment -
Dublin, County Dublin

Apply Now

Job details

Qualifications

CI/CD
Law
React
NoSQL
Git
Master's degree
AWS
Terraform
REST
Redux
UI
DynamoDB
AI
TypeScript
Python
Debugging

Full job description

Full Stack Developer

This is a fantastic opportunity to work in a new and cutting-edge team within the UKI Platform and Enablement Super Tribe.

This team is focused on driving the next phase of AI innovation across the Flutter UK & Ireland business, building intelligent systems and capabilities that will shape the future of our platform and customer experience.

Flutter is a global leader in sports betting, gaming, and entertainment, with a culture focused on innovation, collaboration, and growth. This role offers the opportunity to work on large-scale technology platforms in a supportive and exciting environment where you'll build both the backend services and user-facing interfaces that power the next generation of AI capabilities.

Role Overview

The Full Stack Developer is a versatile engineer within the [x team] who owns features end-to-end — from backend API design and implementation through to frontend UI and real-time interactions. You'll work across the full technology stack (Python, React, TypeScript, AWS) to ship AI capabilities that users love.

This role is ideal for someone who enjoys variety, likes to see their work through from conception to production, and thrives in a collaborative environment where you're part of a small, high-performing team. You'll have the opportunity to grow into deeper specialization as the team scales, but right now, your ability to move fluidly between backend and frontend is a superpower.

Why this role matters:

Full stack engineers are force multipliers in small teams. You can unblock yourself, make better trade-off decisions, and ship faster.
AI features require tight backend-frontend collaboration. You'll bridge that gap naturally.
You'll see the complete picture — how architectural decisions impact user experience, how UI constraints inform API design.

Key Responsibilities

Backend Development: Build Python-based backend services using FastAPI or similar frameworks. Design REST APIs, implement business logic, integrate with AWS services (Lambda, DynamoDB, SQS, Bedrock).
Frontend Development: Build React components with TypeScript. Implement responsive UIs using Tailwind, manage state with Redux or Zustand, and create smooth user interactions.
Feature Ownership: Own features end-to-end. Work with the Product Owner to understand requirements, design the solution (both backend and frontend), implement, test, and ship to production.
AI Integration: Integrate LLM capabilities into features. Understand prompt engineering, token management, streaming responses, and error handling for AI workloads.
API Design: Design clear, intuitive APIs that are easy for frontend engineers and brand teams to consume. Document APIs thoroughly.
Testing: Write unit tests, integration tests, and end-to-end tests. Ensure features work reliably across different scenarios.
Debugging & Troubleshooting: Debug issues across the stack. Use observability tools to understand what's happening in production.
Collaboration: Work closely with other backend engineers, frontend engineers, the DevOps Engineer, and the Product Owner. Participate in code reviews, design discussions, and incident response.

Skills & Experience

Required:

3+ years of professional development experience with exposure to both backend and frontend
Strong proficiency in Python (or willingness to learn quickly)
Strong proficiency in React and TypeScript
Understanding of REST API design and HTTP fundamentals
Experience with relational and/or NoSQL databases
Familiarity with AWS services (Lambda, API Gateway, DynamoDB, SQS)
Git-based workflows and CI/CD familiarity
Experience shipping production features
Strong debugging and problem-solving skills
Ability to work autonomously and ask for help when needed

Desirable:

Experience with LLM APIs or AI integration
Knowledge of serverless architectures
Familiarity with infrastructure as code (CDK, Terraform)
Experience with real-time or streaming data
Background in regulated industries
Experience with design systems and component libraries
Startup or small-team background

Impact of the Role

You'll be a key driver of feature delivery. Your ability to move fluidly between backend and frontend means you'll unblock yourself, make better architectural decisions, and ship features faster than siloed teams. You'll have the satisfaction of seeing your work through from conception to user hands, and you'll be instrumental in proving that the AI platform can deliver real value.

Apply Now

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