Platform Engineer, Wise

• We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you!
• Experience as an engineer during which you developed skills in technologies like Docker, Kubernetes, Terraform
• Experience running large data systems and production services in the cloud (AWS preferred)
• Strong fundamentals in distributed systems design and development
• Familiarity with GitOps and Airflow is a big plus
• Proficiency in one or more programming languages (Python or Java preferred)
• A good understanding of relational databases, big data, and stream processing technologies (e.g. Kafka, Iceberg, Trino, Flink, Snowflake)
• Mastery of fundamental software engineering practices like good design documentation, unit testing, peer code reviews, and a preference for agile methods
• Communication, presentation, interpersonal and organisational skills to communicate effectively new processes and workflows, and interact with teams from different areas of the organisation

Desirable

• As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere
• Our team: the Analytics Platform team, on the Data Squad
• As a Platform Engineer, you will be integral to maintaining and enhancing the data platform's infrastructure to ensure high performance, scalability, and reliability
• You will have the opportunity to leverage technologies, such as Airflow, Iceberg, and Trino, to drive strategic initiatives and support the evolving needs of our organisation
• We also manage a deployment of PipelineWise, an initiative which started with this team, as well our Snowflake-based data warehouse governance and the analytics dashboarding tools we have in place
• These systems are deployed either on an internally run Kubernetes cluster or run by the team on AWS components, eventually to be ported across to internally maintained solutions. We’re now starting off the migration to an orchestrated solution (K8s-based) and we need help to achieve this!
• We operate on a strong belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the platform tribe
• You will have a focus on running and maintaining the analytics services, making sure we have the right observability and service management elements in place, with an eye for high-availability, assessing and reducing engineering load and devising more effective ways for the team to look after its cloud-based platform
• We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence
• Maintain and enhance the infrastructure supporting the data platform, ensuring high performance and availability
• Ensure the reliability and scalability of data flows across various systems and services
• Implement robust observability and alerting frameworks using tools such as Prometheus and Grafana
• Collaborate with cross-functional teams, including Analytics Experience and Data Governance, to ensure alignment in data serving and consumption patterns
• Help establish and maintain high-standard service level agreements (SLAs) for data availability, system responsiveness, and incident management
• Participate in the development and improvement of onboarding processes to promote a seamless user experience
• Design, execute, and support the ELT move to an orchestrated Airflow deployment