Software Engineer (BackEnd) - FanDuel, Hybrid
Betfair Vezi toate joburile
- Cluj-Napoca, Cluj
- Permanent
- Full-time
- Operate in an AI-first development model, using coding assistants, agentic workflows, and automation as the primary means of building, testing, and iterating on software solutions.
- Continuously develop and refine your personal AI-driven development workflow to improve delivery speed and code quality.
- Design, build, and maintain products and solutions using Java and/or Node.js, with a focus on reliability, readability, and testability.
- Deliver features end-to-end, in collaboration with the other tech teams and peers.
- Produce production-ready code independently on clear tasks, and with collaboration on more complex or ambiguous ones.
- Contribute to technical discussions, to design reviews, and implement solutions in line with team architecture standards.
- Proactively identify and address bugs, tech debt, and reliability risks.
- Support and contribute to CI/CD pipelines, observability and deployment tooling.
- Collaborate with and actively learn from more senior engineers; support junior team members when opportunities arise.
- Share knowledge of AI tools and techniques with the wider team, helping build our collective AI capability.
- Partner closely with product managers and stakeholders to translate requirements into clear, maintainable engineering solutions.
- Hands-on experience using AI coding assistants (e.g. Claude, Cursor) as a primary interface for software development.
- Demonstrated ability to use AI tooling to increase development throughput while maintaining high standards for correctness, security, and maintainability.
- Ability to write effective prompts, critically review AI-generated code, and integrate it safely into a shared codebase.
- Developing judgment of where AI adds value and where human engineering reasoning is essential.
- Familiarity with or curiosity about LLM APIs (e.g. OpenAI, Anthropic Claude, Amazon Bedrock) and their integration into backend services.
- Exposure to or interest in monitoring and evaluation approaches for AI systems.
- Genuine curiosity about new models, frameworks, and prompting techniques.
- 2–4 years of professional backend software engineering experience.
- Working proficiency in Java (Spring Boot) and/or Node.js for building backend services.
- Solid grasp of software design fundamentals: clean code, SOLID principles, RESTful API design, and basic distributed systems concepts.
- Experience with relational and/or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis).
- Comfortable working in cloud-native environments (AWS preferred); some exposure to containerization (Docker) and IaC (Terraform).
- Familiarity with messaging platforms (e.g. Kafka, SQS/SNS) is a plus.
- Good testing practices: unit and integration testing; awareness of TDD/BDD approaches.
- Full-stack development and TypeScript knowledge are a plus.
- Clear written and verbal communication; able to articulate technical decisions to peers and non-technical stakeholders.
- Able to work with guidance on ambiguous problems, breaking them into manageable steps and asking the right questions.
- Comfortable working in agile/scrum teams, with continuous delivery and iterative development practices.
- Eagerness to give and receive honest, constructive feedback and to learn from more experienced teammates.
- Genuine customer awareness: understands that engineering decisions have a direct impact on user experience and business outcomes.
We are an inclusive employer. By embracing diverse experiences and perspectives, we create a lasting, positive impact for our employees, customers, and the communities we’re part of. You don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you, let us know, and we’ll see how we can accommodate them.We thank all applicants for their interest; however, only the candidates who best meet the job requirements will be contacted for an interview.By submitting your application online, you agree that your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than three years, to consider you for prospective roles within the company.