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2 минуты назад

Software Engineer III (Java/Spring)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer III (Java/Spring): Building and optimizing backend services for a semantic data platform with an accent on document transformation, entity recognition, and event-driven architecture. Focus on developing scalable microservices, ensuring system reliability, and improving engineering quality through TDD and collaborative practices.

Location: Must be based in or able to work from the Oxford office (Hybrid)

Company

hirify.global is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes through quality data and innovative technology.

What you will do

  • Design, build, and maintain backend services for document transformation and entity recognition workflows.
  • Develop and enhance microservices and APIs using Java, Spring Boot, and Python.
  • Contribute to event-driven and distributed systems using Kafka and AWS infrastructure.
  • Write maintainable, well-tested code using TDD and pair programming.
  • Collaborate with cross-functional teams in Scrum ceremonies to deliver incremental value.
  • Support the reliability, performance, and operability of production services.

Requirements

  • Must be based in or able to work from the Oxford office (Hybrid)
  • Experience building and maintaining backend software using Java and Python.
  • Practical experience with Spring Boot, APIs, and microservice-based systems.
  • Experience working with AWS services in a cloud-native environment.
  • Familiarity with Kafka or similar messaging technologies in event-driven architectures.
  • Experience with test-driven development, code reviews, and pair programming.

Nice to have

  • Experience with document processing, transformation pipelines, or content structuring systems.
  • Experience with entity recognition, metadata extraction, or semantic enrichment workflows.
  • Familiarity with systems that process large-scale or complex content datasets.
  • Experience with AI-supported development practices.

Culture & Benefits

  • Flexible working hours to support work-life balance.
  • Comprehensive pension plan and generous vacation entitlement.
  • Support for wellbeing with initiatives, shared parental leave, and sabbaticals.
  • Personal Choice budget and various employee discounts.
  • Access to internal communities and networks.

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