Senior Software Engineer - Stream Processing Engineer

As a Senior Software Engineer - Stream Processing Engineer at Wise, you'll be responsible for designing and implementing real-time data processing solutions that empower our global financial operations. Your role involves not only developing the necessary tooling and infrastructure but also ensuring these systems provide critical real-time calculations and decisions, crucial for fraud detection and compliance checks. You will also work closely with other engineers to analyze complex requirements and translate them into simple, effective solutions, all while maintaining high availability and security standards.

To become a Senior Software Engineer - Stream Processing Engineer at Wise, you should possess relevant experience with stream processing technologies, particularly Kafka Streams and Apache Flink. A solid background in building production code with Java and Spring is also essential. Additionally, you should be proficient in infrastructure automation tools and have experience in operating distributed systems at scale. We're looking for candidates who are eager to learn and grow their skill set within these areas as part of their journey with Wise.

In the role of Senior Software Engineer - Stream Processing Engineer at Wise, you will engage with innovative technologies such as Kafka Streams and Apache Flink, pivotal for real-time data processing tasks. You'll also work with tools like Apache Iceberg and Kubernetes operators. Your familiarity with cloud platforms, particularly AWS, will be vital as you design and architect systems that support our mission of providing a seamless money management experience worldwide.

At Wise, we understand that continuous learning is key to success, especially in a rapidly evolving field like technology. As a Senior Software Engineer - Stream Processing Engineer, you will have opportunities to enhance your skills through access to resources, mentorship, and engaging in collaborative projects. We encourage innovation and personal growth, ensuring that every team member can pursue their learning journey while contributing to Wise’s broader mission of financial inclusivity.

Wise cultivates a vibrant and inclusive company culture that values diversity and collaboration. As a Senior Software Engineer - Stream Processing Engineer, you will be part of a team that prides itself on transparency, empowerment, and respect. We believe that a diverse workforce harnesses creativity and innovation, which is essential for meeting the needs of our global customer base. You'll be encouraged to share your ideas, take initiative, and grow within an environment that celebrates individual contributions and collective success.

When answering this question, focus on specific projects where you've utilized stream processing tools like Kafka Streams or Apache Flink. Discuss the challenges you faced, how you overcame them, and how your involvement led to improvement in real-time data processing capabilities.

Highlight your approach to implementing security measures during data ingestion and processing. Talk about practices such as data validation, encryption techniques, and how you monitor for potential vulnerabilities in your applications for the Senior Software Engineer - Stream Processing Engineer role.

Share a specific example of how effective communication and collaboration led to successful project outcomes. Discuss the strategies you used to align technical goals with business objectives, especially in terms of building tools that resonate with user needs.

Emphasize your adherence to documented best practices concerning distributed architectures. Mention methods for monitoring system performance, implementing redundancy, and ensuring scalability in your system designs, relevant to the Senior Software Engineer - Stream Processing Engineer position.

Provide a clear method to your problem-solving approach. Discuss how you analyze the problem, consider alternatives, implement solutions, and evaluate outcomes. Relate to a specific scenario you've faced that demonstrates your analytical skills.

Detail your familiarity with AWS services that are applicable to stream processing and engineering efforts. Discuss specific tools or resources you’ve utilized, and how you've integrated cloud services into your software architecture at Wise or previous roles.

Talk about techniques for improving performance, such as data partitioning, caching strategies, or adjusting resource allocation. Provide concrete examples where you've driven optimizations that resulted in measurable improvements in processing latency.

Share your strategies for staying current in technology, such as participating in webinars, reading industry blogs, or engaging with community discussions. Mention how your continuous learning empowers you to apply the latest technologies effectively in your projects.

Provide insights into specific automation tools or frameworks you've utilized in previous projects. Describe your experience with CI/CD practices, describing how those processes added to the reliability and efficiency of your development workflow.

Articulate your passion for Wise’s mission and values. Discuss how your expertise aligns with the company goals and why you feel particularly motivated to contribute to the stream processing team that enables real-time decision making on a global scale.