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Senior Software Engineer (Fullstack)

Softwareentwickler • Senior • Vor Ort • Vollzeit Ungarn Budapest, Ungarn

Senior fullstack software engineering role building enterprise-scale, real-time data systems with Java, Python and Angular, working on distributed systems and microservices architectures and collaborating with global teams in New York, London, Bangalore and Mumbai.

Responsibilities

  • Design, develop and maintain enterprise-scale, real-time data systems using Java, Python and Angular
  • Work on distributed systems and microservices architectures
  • Collaborate with global teams across New York, London, Bangalore and Mumbai
  • Translate business requirements into technical solutions and architecture
  • Build scalable data models and services across the full data lifecycle
  • Implement caching and messaging solutions
  • Engage directly with stakeholders to prioritize and deliver solutions
  • Work in an Agile, fast-paced, collaborative environment

Requirements

  • Degree in computer science, engineering or a related field
  • Strong experience in Java (primary), Python and Angular
  • Experience with the Spring framework (Spring Boot, Spring Batch, Spring Cloud)
  • Understanding of microservices architecture
  • Solid knowledge of databases (RDBMS, Sybase/DB2, MongoDB)
  • Experience with database design and data modeling
  • Familiarity with SDLC methodologies (Agile, iterative development)
  • Strong problem-solving and analytical skills
  • Ability to manage multiple priorities in a deadline-driven environment
  • Excellent communication and collaboration skills

Nice to have

  • Experience with Apache Spark and Kafka
  • Exposure to cloud platforms (AWS, Azure, Google Cloud)
  • Frontend/UI framework experience
  • Scripting knowledge (UNIX/Python)

Soft skills

Strong problem-solving and analytical thinkingManaging multiple priorities in a deadline-driven environmentExcellent communication and collaboration skillsDirect engagement with stakeholders

What we offer

  • Global collaboration with diverse teams
  • Exposure to cutting-edge data engineering and cloud technologies
  • Fast-paced, innovation-driven environment
  • Home office option (40% per week)
  • Cafeteria

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