3 jobs found in Hybrid

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Join Avaloq as a ...

Big Data System Engineer (Platform Engineer) 1 year fixed term contract with extension About the role As a Big Data System Engineer (Platform Engineer), you will make an impact by designing, implementing, and maintaining scalable big data platforms. You will be a valued member of the data engineering team and work collaboratively with architects, developers, and business stakeholders. In this role, you will: Design and implement big data infrastructure and platform solutions. Ensure high availability, scalability, and security of data systems. Collaborate with data engineers and analysts to optimize data workflows. Monitor and troubleshoot platform performance and reliability. Automate deployment and maintenance tasks using DevOps practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring...

About us: Daedalean  is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.   Your role: As a ML company we produce and utilize large amounts of aerial video data that we need to store, process and make useful for our teams globally. You will be a part of the ML team designing, implementing and maintaining tools and infrastructure to support our ML development environment. These have to be efficient, scalable, reliable and adhere to very specific requirements dictated by our certification efforts whilst maintaining the necessary flexibility for the ML development. At Daedalean, we support both on-premise as well as cloud-based compute clusters. The work spans building web APIs, Kubernetes workflows, databases, storage and in-house tools...