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Senior Backend Engineer

🕒 2 days ago
JavaSpring BootPostgreSQLKafka
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📜 Description

  • Design and deliver clean, scalable, testable Java backend systems with minimal supervision.
  • Own services or functional areas within a large-scale architecture.
  • Collaborate with backend, web, mobile, QA, and product teams.
  • Use AI tools throughout system design, development, testing, and code review.
  • Maintain high test coverage and predictable production behavior while improving scalability.
  • Promote engineering excellence through modern practices and continuous improvement.

🛠️ Requirements

  • Extensive production experience with Java and its ecosystem.
  • Solid understanding of relational databases, preferably PostgreSQL, and messaging concepts, preferably Kafka.
  • Strong system design, troubleshooting, and debugging skills.
  • Comfortable using AI coding assistants and taking ownership of validating and refining AI-generated output.
  • Upper-intermediate or higher English proficiency.
Full job description

About Patrianna
Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide.

We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent-smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve.

 

AI-Driven Engineering Culture

We are actively building an AI-driven engineering organization with a clear and deliberate stance: artificial intelligence is a core part of how we build and deliver software — not an experiment, not a trend, and not an optional add-on.

AI is embedded into our engineering workflows, from system design and prototyping to refactoring, testing, and code review. We rely on AI to significantly influence how work is done and to accelerate delivery, while maintaining a high bar for code quality, system reliability, and architectural clarity.

We expect engineers to be fully comfortable working in AI-driven environments and to treat AI as a primary productivity multiplier. Preference for AI-free workflows or resistance to AI-assisted development is NOT aligned with how we operate.

Strong engineering judgment, architectural ownership, and accountability remain essential. AI amplifies our engineers — it does not replace responsibility for technical decisions.

 

What you will be doing
• Design and deliver clean, scalable, and testable Java-based backend systems with minimal supervision
• Collaborate with cross-functional teams including backend, web, mobile, QA, and product teams
• Take ownership of specific services or functional areas within our large-scale architecture
• Leverage AI tools and assistants as integral parts of your development workflow—from system design to code review
• Contribute to maintaining high test coverage, predictable production behavior, and seamless scalability
• Drive engineering excellence through modern practices and continuous improvement


What we are looking for
• Extensive production experience with Java and its ecosystem
• Solid understanding of relational database principles (preferably PostgreSQL) and messaging concepts (preferably Kafka)
• Strong system design, troubleshooting, and debugging capabilities
• Comfortable and proactive in using AI coding assistants (GitHub Copilot, Claude Code, etc.) as productivity multipliers
• Practical experience validating, refining, and taking ownership of AI-generated output
• Upper-intermediate or higher level of English

 

Why you will love it
You'll be at the forefront of AI-driven engineering in a fast-scaling environment where your code directly impacts millions of users. Work with cutting-edge technology (latest Java, Spring Boot, GCP, Kubernetes) while enjoying full remote flexibility, generous leave, and real opportunities for growth. Join a team that treats AI as a core engineering tool—not an experiment—and where engineering excellence, speed, and meaningful impact are part of everyday work.

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