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Senior Backend Developer (Java/Spring Boot, Agentic LLMs)

GermanyRemoteFull-timesenior

EngineeringBackend Developer

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Quick Summary

Requirements Summary

Build and maintain REST APIs that support web applications, mobile experiences, and integrations with external systems. Distributed systems engineering: Develop and improve distributed services,

Technical Tools

EngineeringBackend Developer

As a Senior Backend Developer, you will contribute to building and enhancing a high-performance technology platform serving the global business aviation industry. You will develop robust backend services and scalable applications using Java and Spring Boot, working across distributed systems, APIs, and event-driven architectures. This hands-on engineering role combines established software development practices with practical applications of large language models (LLMs) and agentic AI workflows. You will help integrate intelligent capabilities into existing services, exploring opportunities in retrieval-augmented generation, automation, and tool orchestration. Collaborating closely with product and engineering teams, you will take ownership of features from implementation through testing and delivery. In a remote-first, international environment, you will have the opportunity to influence technical quality, improve system reliability, and apply emerging AI technologies to real-world engineering challenges.

Backend development: Design, develop, maintain, and optimize backend services using Java and Spring Boot, delivering reliable, scalable, and maintainable software.

End-to-end feature delivery: Take ownership of software features throughout their lifecycle, from understanding requirements and implementation to testing, debugging, deployment, and ongoing improvement.

API development and integration: Build and maintain REST APIs that support web applications, mobile experiences, and integrations with external systems.

Distributed systems engineering: Develop and improve distributed services, ensuring reliability, scalability, and effective communication between system components.

Event-driven architecture: Implement asynchronous processing and event-driven workflows using Apache Kafka or comparable messaging and streaming technologies.

Database management: Design and maintain relational data models using PostgreSQL and Hibernate, with a focus on data integrity, query efficiency, and application performance.

Agentic AI and LLM integration: Apply practical knowledge of large language models, retrieval-augmented generation (RAG), agent-tool interactions, and LLM orchestration to develop intelligent backend capabilities and automation workflows.

AI-assisted development: Use tools such as Cursor, Claude Code, and GitHub Copilot to accelerate development while maintaining high standards for code quality, testing, security, and maintainability.

Engineering quality: Write clean, well-tested code, apply sound functional programming principles, and contribute to debugging, code reviews, and continuous improvement.

Cross-functional collaboration: Work closely with product managers and fellow engineers to translate requirements into effective technical solutions and deliver meaningful business outcomes.

Technical optimization: Identify opportunities to improve system performance, reliability, maintainability, and development efficiency through modern engineering practices.

Requirements

~2 min read

Professional experience: At least six years of hands-on Java backend development experience, ideally using Java 17 or a comparable modern version.

Backend frameworks: Strong experience with Spring Boot 2.x or 3.x and Hibernate 5.x or 6.x, including the development and maintenance of production-grade applications.

Distributed systems and APIs: Proven experience building scalable distributed systems, developing REST APIs, and integrating services across complex application environments.

Database expertise: Solid knowledge of PostgreSQL, relational database modeling, and data persistence using Hibernate or related technologies.

Event-driven development: Practical experience implementing event-driven architectures and asynchronous processing using Apache Kafka or similar messaging and streaming platforms.

Functional programming: Strong familiarity with functional programming principles, including immutability, pure functions, and concurrency-aware design.

LLMs and agentic workflows: Hands-on familiarity with LLM-based applications and agentic workflows, including RAG pipelines, tool interactions, and orchestration. You should be able to explain concrete implementations and the engineering decisions behind them.

AI coding tools: Regular use of AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot, combined with the judgment needed to validate generated code, write tests, and maintain software quality.

Development tools and delivery: Proficiency with Git, Maven, testing frameworks, debugging techniques, and end-to-end software delivery.

Communication and teamwork: Strong collaboration skills and professional fluency in English at B2 level or above, with C1 preferred.

Preferred AI experience: Familiarity with the Model Context Protocol (MCP), autonomous agents, or multi-agent workflows is an advantage.

Additional programming knowledge: Experience with Scala, Kotlin, or functional Java libraries such as Vavr is considered a plus.

Search and performance technologies: Familiarity with Elasticsearch, vector search, embeddings, Redis, and performance optimization is beneficial.

Cloud and DevOps: Experience with Docker, Kubernetes, AWS, Terraform, and CI/CD pipelines is an advantage.

Applied AI integration: Previous experience integrating LLM-powered features into existing backend services is highly desirable.

Remote work eligibility: Ability to work fully remotely from an eligible European country, subject to contractual and country-specific requirements.

What We Offer

~2 min read

Fully remote work: Work remotely from an eligible location in Europe, without the need for regular office attendance.

International engineering environment: Collaborate with a distributed team building a sophisticated technology platform for the global business aviation industry.

Technical ownership: Take responsibility for meaningful backend features and contribute directly to engineering quality and platform development.

Modern technology stack: Work with Java, Spring Boot, distributed systems, event-driven architectures, and emerging agentic AI technologies.

Practical AI innovation: Explore and implement LLM-powered workflows and AI-assisted development practices in real-world production systems.

Professional growth: Strengthen your expertise in scalable backend engineering, AI integration, and modern software delivery practices.

Collaborative culture: Work closely with product and engineering colleagues in an environment that values code quality, pragmatic problem-solving, and continuous improvement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

✓Fully remote work: Work remotely from an eligible location in Europe, without the need for regular office attendance.

✓International engineering environment: Collaborate with a distributed team building a sophisticated technology platform for the global business aviation industry.

✓Technical ownership: Take responsibility for meaningful backend features and contribute directly to engineering quality and platform development.

✓Modern technology stack: Work with Java, Spring Boot, distributed systems, event-driven architectures, and emerging agentic AI technologies.

✓Practical AI innovation: Explore and implement LLM-powered workflows and AI-assisted development practices in real-world production systems.

✓Professional growth: Strengthen your expertise in scalable backend engineering, AI integration, and modern software delivery practices.

✓Collaborative culture: Work closely with product and engineering colleagues in an environment that values code quality, pragmatic problem-solving, and continuous improvement.