ALOIS UK

Java Low Latency

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Java Low Latency developer with 11+ years of experience, offering a hybrid contract in Canary Wharf, London. Key skills include Java, low-latency systems, financial services background, and hands-on coding. A Bachelor's degree is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
April 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Code Reviews #Leadership #Hibernate #Cloud #Kubernetes #Computer Science #Docker #Libraries #Java #AWS (Amazon Web Services) #Azure
Role description
Role – Java Low Latency Experience – 11+ years Hybrid – 3 days/week onsite (mandatory) Location – Canary Wharf, London Must Have – Java, Low-latency, financial services background, and hands on coding skills DETAILED RESPONSIBILITIES- - Lead the development, testing, and maintenance of low-latency Java applications. - Collaborate with cross-functional teams to gather requirements and design system architecture. - Optimize application performance and troubleshoot latency issues. - Mentor junior developers and ensure adherence to best coding practices. - Participate in code reviews and provide constructive feedback. - Stay updated with the latest industry trends and integrate relevant technologies into projects. SKILL REQUIREMENTS - Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in Java development, with a focus on low-latency systems. - Strong understanding of multithreading, concurrency, and performance optimization. - Experience with frameworks and libraries such as Spring, Hibernate, and Netty. - Familiarity with distributed systems and network protocols. - Excellent problem-solving skills and attention to detail. - Effective communication and leadership skills. OTHER REQUIREMENTS (OPTIONAL) - Knowledge of financial services technology and trading systems. - Experience with cloud platforms such as AWS or Azure. - Familiarity with containerization tools like Docker and Kubernetes.