Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Java Backend): Building scalable backend services, APIs, integrations, and distributed systems for Redwood’s mission-critical enterprise automation platform with an accent on Java, Spring Boot, cloud services, data persistence, security, and reliability. Focus on designing resilient service architectures, optimizing database performance, improving observability, reviewing AI-generated code, and mentoring developers.
Location: Houten, The Netherlands
Company
hirify.global develops a SaaS-first orchestration platform for automating mission-critical business and IT processes across ERP, hybrid cloud, data, and agentic AI systems.
What you will do
Design, build, and maintain scalable backend services and APIs using Java and Spring.
Contribute to distributed-system architecture, including service boundaries, data flows, asynchronous processing, and fault tolerance.
Design and optimize relational data models, SQL queries, persistence layers, and enterprise or cloud integrations.
Own backend features through design, implementation, testing, deployment, monitoring, performance tuning, and continuous improvement.
Lead technical discussions, review code, contribute to architecture decisions, and mentor junior and mid-level developers, including responsible use of AI-assisted development tools.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
5+ years of professional backend software development experience, including strong expertise in Java 11/17 or later.
Strong experience with Spring Boot and production-grade services, APIs, and microservices.
Experience designing distributed systems for scalability, resiliency, security, and maintainability.
Proficiency with relational databases such as PostgreSQL or MySQL, including schema design, SQL, and Hibernate or JPA.
Experience with AWS, Azure, or GCP and container technologies such as Docker and Kubernetes; AWS expertise is especially valuable.
Experience testing backend systems with JUnit and integration or API testing frameworks.
Ability to diagnose production issues, identify bottlenecks, and implement lasting improvements in an agile environment.
Strong communication, collaboration, mentoring, and technical-direction skills.
Required AI-era skills include production use of AI-powered development tools, reviewing and correcting AI-generated code, technical prompting, adaptability, architectural judgment, and maintaining business-logic and system-integrity focus.
Nice to have
Event-driven architectures and messaging technologies such as Kafka or RabbitMQ.
SaaS, enterprise software, automation platforms, monolith decomposition, or broader system architecture experience.
Spring Security and enterprise authentication or authorization patterns.
CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI.
Application performance profiling, JVM diagnostics, or operating-system-level troubleshooting.
AI-integrated product capabilities, app marketplaces, platform integrations, or SAP ABAP/HANA integration.
Shell scripting, Gradle, Tomcat, open-source backend contributions, or a relevant GitHub portfolio.
Culture & Benefits
Values include teamwork, customer success, curiosity, ownership, practical problem-solving, and mutual respect.
Work within an engineering organization focused on mission-critical automation and AI-driven software development.
Equal-opportunity workplace with compliance with applicable local data-protection laws, including GDPR.
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