Senior Software Engineer II - Budapest, Budapest

Job summary

Wise is a global technology company building the best way to move and manage the world's money. As a Senior Software Engineer, you will be helping us create an entirely new network for the world's money.

Responsibilities

• Build a globally scalable payment fraud prevention and detection real-time engine to keep Wise as a secure environment for our legitimate customers.
• Utilise machine learning techniques to identify potential risks associated with customer activity.
• Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists.
• Not only meet the requirements set by regulators and auditors but also surpass their expectations.

Qualifications

• 6+ years of experience working with Java, Spring framework, asynchronous message queues and have worked with microservices architecture – this is essential.
• Experience with CI/CD pipelines and Distributed and Concurrent Systems.
• Hands-on experience with Kafka, Kafka Streams or Apache Flink.
• Experience with OLAP databases or data-lakes with Kafka ingestion is a plus.
• A strong product mindset and passion for user experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points.
• You believe in and follow best coding practices, code reviews and open feedback.
• Being able to work autonomously on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve.
• Great communication skills (both verbal and written) and the ability to articulate complex, technical concepts to non-technical audience.
• Hands-on experience working with relational and non-relational databases, query optimisations, designing and evolving schemas.
• Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus.

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