This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We’re building a world-class engineering organization, and this role is a foundational member of our Platform function. As a Staff Platform Engineer (Generalist), you'll work across backend services, cloud infrastructure, and data pipelines to ensure Campus can scale reliably, securely, and with high developer velocity. This is a hybrid role spanning backend engineering, data engineering, and infrastructure. You’ll build backend systems, shape our data workflows, design infrastructure, maintain CI/CD, and create the internal tools that accelerate engineering. If you love owning systems end-to-end, improving developer experience, and solving technical problems that unlock product velocity, you’ll thrive here.
Job Responsibility:
Ship backend systems that power admissions, financial aid, registrar workflows, reporting, and real-time student experiences
Build and maintain data pipelines and ingestion flows supporting analytics, product, and operational automation
Own CI/CD and deployment workflows to ensure fast, reliable releases across backend, mobile, and frontend
Design and scale our cloud infrastructure using GCP and Terraform
Improve developer experience and data scientist experience — tools, environments, testing workflows, and internal automations
Partner across engineering (backend, mobile, data, product) to accelerate delivery and reduce operational friction
Strengthen security & compliance through better access control, audit-ready logging, secrets management, and hardened infrastructure
Requirements:
7–10 years of experience as a backend engineer, platform engineer, DevOps/SRE engineer, or data engineer
Experience building and maintaining production services, pipelines, and cloud infrastructure at scale
Strong in Go or Python
Hands-on experience with cloud services (AWS, GCP or Azure), Terraform, Docker, and CI/CD tooling
Experience with data pipelines, warehouses, or operational data workflows
Care deeply about reliability, performance, graceful degradation, and observability
Curious and growth-oriented
Communicate clearly and work collaboratively with low ego