Platform Engineer, Wise

• 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
• We are looking for candidates with a minimum of 4 years of relevant experience for this role. Whilst we appreciate all applications, please note that candidates who do not meet this requirement will not be considered
• Experience as an engineer during which you developed skills in container technologies like Docker or Kubernetes
• Infrastructure-as-code is a necessity of our daily operations, Wise uses Terraform but it’s more important the candidate is familiar with the concept and prioritises this practice in his/her work
• 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. These can vary but typically you’d find tools like Kafka, Spark, Snowflake, etc.
• Good grasp 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

• The Data services offered by the Data Squad is at the core of systems that store, process and leverage this data, ultimately providing real time decision making capabilities that serve as one of many drivers for business growth
• 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
• 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!
• At Wise we believe in automation, programmatic implementation, and reusable design
• We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use
• 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
• 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