Swish Analytics

This position is 100% Remote in Malta or Spain. Establish yourself as an expert and communicator of Swish’s products and services. Manage day-to-day inbound client inquiries over Slack, email and video conferencing. Identify customer pain points and proactively reach out with solutions for clients. Communicate relevant inquiries and tasks with Swish Trading, Product, Engineering and Data Science teams.

Use your experience to develop, maintain and implement Kubernetes clusters at scale that are ready for heavy/spiky ML workloads. Work closely with Data Science and Data Engineering teams to implement, optimize and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages. Help Data Science and Data Engineering develop and implement specialized infrastructure to deliver tools/software to improve the reliability and scalability of services.