• Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load large datasets into GCP-based platforms (e.g., BigQuery, Cloud Storage) • Optimise data pipelines for performance, reliability, and scalability • Develop and manage data models, schemas, and storage solutions aligned with best practices • Leverage GCP services such as Cloud Composer, Dataflow, Pub/Sub, and Cloud Functions to build automated workflows • Implement data validation, cleansing, and quality checks to maintain accuracy and integrity

• Backend services & APIs: Design, build, and maintain robust backend services and RESTful APIs that power Toku’s omnichannel communication platform. • Event-driven systems: Build and maintain event-driven backend systems to support asynchronous workflows across messaging, notifications, and voice services. • System design & architecture: Independently design microservices, define service boundaries, and reason about scalability, latency, data consistency, and architectural trade-offs. • Legacy modernisation: Rewrite and migrate existing backend services (currently implemented in TypeScript) into Go and newer backend architectures. • Cloud-native collaboration: Develop cloud-native backend systems on AWS, working closely with the infrastructure team to clearly articulate service requirements and operational needs. • Data & persistence: Design and work with SQL-based data models, ensuring performance, correctness, and alignment with real product usage; contribute to NoSQL usage where appropriate. • Product-facing backend work: Support communication and notification services across WhatsApp, SMS, email, and voice channels, handling communication metadata at scale. • Production ownership: Own backend services in production, including reliability, performance, observability, and continuous improvement. • Technical quality: Write clean, maintainable, and well-documented backend code, and participate actively in code reviews and technical design discussions. • Ownership & initiative: Take initiative and drive backend problems through to solutions independently, collaborating effectively with peers across engineering.

• Design, develop, and maintain scalable backend services using Python and/or Node.js • Build and consume RESTful APIs with a focus on performance, reliability, and security • Develop and integrate microservices-based architectures using Spring Boot where applicable • Containerize applications using Docker and manage deployments using Kubernetes • Design, optimize, and manage data storage solutions using SQL, NoSQL, and Vector Databases • Implement secure coding practices, authentication, authorization, and data protection standards • Collaborate with DevOps teams to implement CI/CD pipelines and cloud deployments on Microsoft Azure • Monitor, troubleshoot, and optimize backend systems for scalability and high availability • Participate in code reviews, architecture discussions, and technical decision-making • Mentor junior developers and contribute to engineering best practices

• Integrated into an agile product team, the Tech Lead Node.js / React.js will take part in the design, development and evolution of high-value web applications. • Develop front-end interfaces using React.js. • Perform back-end development with Node.js and front-end development with React.js, including the implementation of unit tests. • Maintain a Tech Lead posture: provide technical guidance to the team, share best practices and support skills development. • Analyze, diagnose and resolve defects. • Write technical and functional documentation. • Understand, analyze and gather project requirements in collaboration with stakeholders.