Senior Software Engineer I

About the role

We are seeking a senior engineer to join our Stream Processing team within the Data Squad. You will build and maintain the infrastructure that enables real-time money transfers, fraud detection, and anti-money laundering checks. In this capacity, you will own the design and execution of critical data pathways that power our financial platform. The role requires a proactive approach to solving complex streaming challenges while maintaining rigorous standards for reliability. You will collaborate closely with product and analytics teams to turn business requirements into robust technical solutions. Your work will directly influence the speed and accuracy of financial transactions across our global network. This is an opportunity to shape the streaming backbone of a fintech operating at scale.

Key facts

What you'll do

• Architect, design, and operate systems hosted on AWS to support high-throughput data flows.
• Develop and manage pipelines for real-time decision-making processes that operate within millisecond latency.
• Create tools and infrastructure to facilitate data movement into our data lake for product and analytics teams.
• Guide product engineers on best practices and standards for using our internal tooling effectively.
• Focus on system availability, security, and automation to support our platform growth continuously.
• Implement scalable stream processing solutions using Apache Flink to handle event-driven workloads.
• Optimize Kafka Streams applications for resilience, throughput, and low-latency performance.
• Maintain and evolve Apache Iceberg tables to ensure efficient data storage and querying in the lakehouse.

Requirements

• You have professional experience with Flink or Kafka Streams in production environments.
• You have a background in developing production-grade software using Java and Spring frameworks.
• You bring experience in building and managing distributed systems that operate at scale.
• You demonstrate proficiency with infrastructure automation tools such as Kubernetes and related ecosystems.
• You are comfortable working with AWS services to deploy and operate streaming applications.
• You understand the principles of event-driven architecture and stream processing patterns.
• You have a strong grasp of data formats, serialization, and schema management in streaming pipelines.
• You are committed to writing clean, testable, and maintainable code that aligns with industry best practices.

Skills & tools

• Apache Flink
• Kafka Streams
• Apache Iceberg
• K8s operators
• Java
• Spring
• AWS

Practical notes

• Starting salary range is 87,500 to 111,000 GBP plus RSUs.
• This role follows a hybrid work model.
• We encourage applicants who meet some of these requirements and are willing to learn the rest.
• For further details on our culture and engineering practices, visit the Wise Engineering blog or our career pages.

The successful candidate will engage in full lifecycle ownership of streaming features, translating ambiguous requirements into technical specifications. You will participate in code reviews, incident response, and on-call rotations to ensure system stability. Collaboration with cross-functional partners will be essential to prioritize work and align delivery with business objectives. You will contribute to the evolution of architectural diagrams and technical documentation for the stream processing stack. The role demands a balance between independent execution and close teamwork within a fast-paced engineering culture. You will have the opportunity to mentor junior engineers and share knowledge through pair programming and technical discussions. Continuous improvement of processes and tooling will be part of your responsibilities to enhance developer experience. The position requires adaptability as requirements evolve and new streaming challenges emerge.

This position is based in London, GB, and operates under a full-time engagement model. The compensation package includes a starting salary range of 87,500 to 111,000 GBP, complemented by RSUs to align long-term contributions with company performance. The work arrangement follows a hybrid work model, allowing flexibility in office and remote work while ensuring team cohesion. Applicants are encouraged to apply even if they do not meet every requirement, provided they are eager to learn and grow into the remaining expectations. The selection process will assess both technical competence and cultural fit with the Stream Processing team. No specific deadlines for submission are published, but early application is recommended due to the volume of candidates. For more insight into the engineering environment and practices, you are directed to the Wise Engineering blog and career pages, which detail the principles and workflows guiding our teams.