Senior Edge Compute & Backend Engineer

As a Senior Edge Compute & Backend Engineer, you will join Cloudinary’s Delivery team, collaborating closely with both frontend and backend specialists. Your role involves driving feature development, maintaining core codebases, and managing our extensive multi-CDN delivery platform. Our team oversees the global-scale delivery of Cloudinary customer assets and the underlying software and infrastructure. This encompasses our edge platform and CDN infrastructure designed for high-performance delivery, alongside the backend services that power them. We are trusted by leading global brands to provide high-fidelity media via flexible transformations, ensuring minimal latency and optimized bandwidth. Key Responsibilities Own end-to-end solutions, guiding projects from initial requirements through to production. Act as a primary technical authority for delivery infrastructure for both internal teams and external partners. Develop and sustain internal microservices essential to the delivery platform. Integrate external services and partners while implementing custom in-house solutions. Engage in the team’s knowledge-sharing initiatives and provide 2nd-tier support, including on-call rotations. Resolve complex inquiries and technical questions from internal customers. Qualifications At least 8 years of backend engineering experience or demonstrated exceptional talent. Proven experience developing with major CDNs like Fastly, Cloudflare, Akamai, or CloudFront. A self-driven, independent, and analytical mindset with deep technical knowledge. A data-centric approach to development, utilizing data warehouse and monitoring tools for insights. Technical Profile Proficiency in multiple languages, specifically Go, JavaScript, and VCL. Practical experience with at least one major CDN provider, including development using VCL or JS. Bonus Skills Background in distributed cloud-based architectures at high scale. Significant experience integrating and developing with various major CDN providers. Practical knowledge of AWS (Amazon Web Services). Experience with Rust, Ruby on Rails, or DevOps-oriented infrastructure. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.