<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.<br/><br/><strong>What You’ll Do<br/><br/></strong>Cloud and platform engineering (DevOps):<br/><br/><ul><li>Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.</li><li>Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.</li><li>Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.</li><li>Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.</li><li>Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.<br/><br/></li></ul><strong>Operational Excellence And Reliability<br/><br/></strong><ul><li>Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.</li><li>Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.</li><li>Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).</li><li>Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.<br/><br/></li></ul><strong>Technical Leadership<br/><br/></strong><ul><li>Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.</li><li>Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.</li><li>Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.<br/><br/></li></ul>We’d be glad to have you on our team if you:<br/><br/><ul><li>Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.</li><li>Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).</li><li>Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.</li><li>Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.</li><li>Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.</li><li>Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.<br/><br/></li></ul><strong>We are an equal opportunity employer<br/><br/></strong>We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.<br/><br/><em>We process the data provided in your job application in accordance with the Recruitment Privacy Policy.<br/><br/></em> </div>