aijavapythonkuberneteskotlinci cddistributed systemsargocdobservabilityreference data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко определена с акцентом на модернизацию Java-приложений и работу с Kubernetes, но требование гибридного формата может ограничить гибкость.
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Гибридный форматСовременный стекФокус на количественной торговле
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Java/Kotlin Software Engineer (Quantitative Trading): Building and maintaining distributed services for ingesting, processing, and distributing financial market reference data with an accent on Java modernization, platform reliability, and cloud-native infrastructure. Focus on upgrading legacy JDK applications, improving observability and performance, and operating Kubernetes-based systems that support quantitative research and trading platforms.
Location: London, UK; hybrid work with office attendance required 4 days per week for 3 weeks of the month and 5 days during the final week.
Company
Quantitative trading and technology firm developing research and trading infrastructure.
What you will do
Develop and maintain distributed services for ingesting and processing market reference data.
Deliver Java and JDK upgrade projects across production applications.
Improve the reliability, scalability, performance, and security of distributed systems.
Enhance platform observability with telemetry and monitoring tools.
Work with Kubernetes services, deployment pipelines, CI/CD, and cloud-native infrastructure.
Collaborate with software engineers, platform teams, and quantitative researchers while using AI-assisted development tools.
Requirements
Commercial software engineering experience with Java.
Experience upgrading or modernizing Java applications, preferably through JDK migrations.
Experience building distributed systems or backend services.
Familiarity with Kubernetes and containerized applications.
Exposure to observability tools such as OpenTelemetry or similar technologies.
Interest in building reliable and scalable infrastructure for high-performance systems.
Nice to have
Experience with Kotlin and/or Python.
Culture & Benefits
Permanent employment.
Modern software development practices and cloud-native engineering.
AI-assisted development tools are used to improve productivity and delivery speed.
Close collaboration with platform engineering and quantitative research teams.
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