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About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers…
Engineering manager for Cloudflare's Agentic Commerce team (hybrid, London or Lisbon), leading engineers building machine-to-machine payment infrastructure: low-latency transaction processing, digital wallets, usage metering, and emerging agent payment protocols like x402, on Cloudflare's edge network. A people-management role that requires deep technical credibility.
Internal full-stack developer at a Singapore medical spa: builds and maintains business apps, backend services, APIs/webhooks, and internal tools in Python (FastAPI/Flask/Django) with JS/React front ends, connecting CRM, analytics and AI-enabled platforms alongside the company's data and AI engineers.
Senior engineer on Discord's Platform Security team focused on identity and access management: building employee/service authorization (the 'Access' platform), Zero Trust auth, PKI/mTLS service identity, and least-privilege automation. It is a code-forward role using Python, TypeScript, and Rust across multi-cloud (GCP, Cloudflare, AWS) infrastructure.
Senior DevOps engineer at Tabby, a BNPL fintech in Riyadh: maintain Linux servers and GCP/Kubernetes cloud infrastructure, automate provisioning, improve observability, apply PCI-DSS hardening, and communicate with Saudi regulators (SAMA/Central Bank). Arabic proficiency is required.
DevOps engineer at BOLD/LiveCareer in Noida who owns production ML environments and MLOps infrastructure: architecting SageMaker/EMR/OpenSearch pipelines on AWS, building CI/CD and IaC (Jenkins, Terraform), running EKS/Kubernetes with service mesh, plus observability, security hardening, cost optimization, and 24x7 on-call reliability work.
DevOps Engineer at 24Slides (Malang, Indonesia office) managing Kubernetes clusters, CI/CD build runners, and cloud infrastructure using Infrastructure as Code, plus monitoring, cost optimization, security patching, incident response, and disaster-recovery drills, while collaborating with DevOps and engineering colleagues in Europe.
Principal-level ML engineer who builds, scales, and operates production-grade machine learning systems powering real-time 1:1 personalization across Attentive's marketing platform. Core stack includes Python with PyTorch/TensorFlow/HuggingFace for modeling, plus Kubernetes on AWS and Java/Spring Boot microservices for serving.
Senior engineer who designs and builds security controls, automation, and monitoring for cloud-native infrastructure at a global crypto company, using AWS/GCP, Python, Terraform, and SIEM tools.
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