Platform Engineer - Infrastructure

Remote Full-time
About CloudWalk We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of happy customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically. About Platform Engineering at CloudWalk Our Platform Engineering team transforms infrastructure complexity into competitive advantage. We build rock-solid cloud, network, and Kubernetes foundations that enable product teams to ship faster and safer. We're moving from reactive operations to proactive platform building. What You'll Be Doing Design and manage production Kubernetes clusters (Istio, ArgoCD, Helm) Build secure GCP infrastructure with automated provisioning Implement networking, DNS, and service-to-service connectivity Create infrastructure-as-code that eliminates manual work Build self-service tools that let developers deploy without friction Create "golden paths" for common infrastructure patterns Automate cluster management and disaster recovery Enable ephemeral environments that spin up in minutes What You Need Deep Kubernetes knowledge (networking, security, operations) Cloud expertise (IAM, networking, compute) Infrastructure as Code (Terraform, Helm, GitOps) Service mesh experience Platform mindset: treating infrastructure as a product for developers Success Metrics Infrastructure provisioning in minutes, not days 99.99% cluster uptime with zero-downtime deployments Product teams deploy confidently without infrastructure blockers Why Join? You'll be building the foundational infrastructure that powers CloudWalk 's payments platform serving millions of customers. Every optimization you make directly impacts application performance, security, and developer productivity across the entire engineering organization. Join us at CloudWalk , where we're not just managing infrastructure; we're building a smarter, AI-driven future for payments—together. Originally posted on Himalayas
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