$ cat jobs/observability-engineer-avaloq1-0ee44574c385.json
Observability Engineer
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. As an Observability Engineer you will be part of a team that is responsible for managing and operate our observability stack, ensuring E2E monitoring, metrics collection, logging and tracing across our infrastructure and applications. You will collaborate with other stakeholders to improve system visibility, detect issues proactively and drive performance optimization. This role requires strong technical expertise and hands-on experience with infrastructure as code (IaC) tools such as Terraform and application analysis. Your key tasks Observability Stack Design & Deployment Design and Implement: build a robust observability stack encompassing logging, metrics collection, monitoring, alerting, and tracing systems tailored for cloud environments Integration: seamlessly connect observability tools with cloud services and infrastructure to achieve comprehensive monitoring and visibility IaC Development: use Terraform to automate the provisioning and deployment of observability tools and infrastructure, ensuring consistency and efficiency Monitorin
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