Job Title: Cloud Native Engineer

Company Name: Zettabyte

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/b2ve9x9jjal1eqi9

Job Description: Posted 5mo agoCloud Native Engineer@ ZettabyteView All JobsWebsitePalo Alto or Singapore or TaipeiRemoteFull TimeResponsibilities:Design microservices, Build infrastructure, Scale systemsRequirements Summary:7+ years in distributed systems and cloud-native tech; strong Go; Kubernetes; microservices; Python; Docker/containerd; AI-assisted coding tools; collaboration.Technical Tools Mentioned:Go, Kubernetes, Python, Docker, containerd, Prometheus, Grafana, service mesh, GitHub Copilot, ChatGPT, Cursor IDE
Why this role existsWe're looking for a Cloud Native Engineer to build and optimize the microservices architecture powering our AI cloud platform. You'll design resilient, scalable systems using cutting-edge cloud native technologies, ensuring our platform can handle massive AI workloads with reliability and performance.As part of our cloud native engineering team, you'll work on Kubernetes-based infrastructure, Go microservices, and container orchestration systems that serve as the backbone of our AI computing platform. You'll architect the systems that make AI compute seamless for thousands of developers and enterprises.This is a unique opportunity for someone who's excited to work with the latest cloud native technologies, solve complex distributed systems challenges, and build infrastructure at scale in the rapidly growing AI space.What you'll doDesign and develop microservices using Go that power our AI cloud platform's core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou'll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingCompensationCompetitive salary — commensurate with your experience and aligned with industry standardsMeaningful equity — be part of the upside as we build a category-defining company. Your grant will align with your role and the experience you bring.