Support Engineer (EMEA - Weekends)
SupabaseFull Time
Mid-level (3 to 4 years)
Candidates must have 5+ years of experience in an engineering or support role, preferably in SaaS, with experience in the monitoring, observability, or data pipeline space. Required technical skills include coding/SDLC, Linux, cloud providers (AWS, GCP, Azure), networking, and shell. Experience with Kubernetes and Terraform is essential, and Prometheus experience is a strong plus. Excellent written and verbal communication, strong analytical and problem-solving skills, and the ability to learn quickly are also necessary. A BS in computer science or a related field, or equivalent experience, is preferred, along with cloud certifications and familiarity with modern programming languages.
The Customer Support Engineer will address technical issues for customers, working independently and collaboratively in an interrupt-driven environment. Responsibilities include resolving complex technical problems, documenting and presenting solutions, owning issues from start to finish, and finding reproducible examples from customer-provided information. The role involves categorizing issues, determining when to involve the engineering team, collaborating with engineering to fix problems and identify improvements, and confirming that fixes resolve the original concerns. Additionally, the engineer will contribute to documentation and knowledge base articles.
Cloud-native infrastructure and application monitoring
Chronosphere offers a platform that helps businesses monitor their cloud-native infrastructure and applications by quickly identifying and resolving issues before they affect customers. The platform filters out unnecessary data, allowing users to focus on critical information, which is especially useful for companies still using outdated monitoring tools. Unlike its competitors, Chronosphere emphasizes reducing observability costs, which can be a major expense for engineering teams, and helps decrease on-call alerts by up to 90%. The company's goal is to improve business efficiency and productivity while providing a strong return on investment.