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Cloud Engineer
Location
Kenya
Posted
83 days ago
Salary
0
Seniority
Mid Level
Job Description
Cloud Engineer
RAY AI
We are seeking a highly skilled Cloud Engineer & Infrastructure Security professional to design, build, and secure our hybrid infrastructure (cloud + on-prem). The ideal candidate will have deep experience with Kubernetes, Terraform, Helm, and a strong background in infrastructure security, DevSecOps, and on-prem deployments. This role is critical for architecting scalable, secure, and observable infrastructure supporting mission-critical applications and LLM (Large Language Model) workloads. Your Responsibilities: - Infrastructure & Cloud Management - Deploy and manage Kubernetes clusters (cloud & on-prem) using Terraform and Helm. - Design secure network topology (VPCs, VPNs, firewalls). - Infrastructure Security & Zero Trust - Implement zero trust models, IAM, and least-privilege access. - Enforce security policies, micro-segmentation, and secrets management. - DevSecOps & CI/CD Security - Integrate security scanning, SBOM, and policy-as-code into pipelines. - Automate compliance and security checks during build and deploy. - LLM & Hybrid Deployments - Build and maintain infrastructure for LLM workloads (vLLM, KServe). - Support hybrid cloud and on-prem deployments ensuring consistency and security. - Monitoring & Observability - Implement monitoring, logging, and alerting using Grafana, Azure Monitor, Prometheus. - Maintain dashboards, SLIs/SLOs, and performance metrics. - Linux & Automation - Harden Linux systems, automate routine tasks, and support incident response. - Develop scripts and tools to streamline operations. - Collaboration & Strategy - Partner with engineering, security, and operations teams. - Mentor teams on cloud best practices and emerging technologies. What we look for: - Strong experience with Kubernetes, including cluster provisioning, scaling, and security. - Proficient in Terraform and Helm for infrastructure-as-code and deployment automation. - Expertise in infrastructure security, zero trust models, and IAM best practices. - Hands-on experience with DevSecOps: security scanning, SBOM generation, secrets management, and policy-as-code. - Solid understanding of cloud networking: VPC design, VPN, and firewall configuration. - Experience with hybrid or on-prem deployments alongside cloud environments. - Skilled in Linux administration, scripting, and automation for operational efficiency. - Familiarity with monitoring and observability tools (Azure Monitor, Grafana, Prometheus). - Experience building and managing infrastructure for LLM or AI workloads (vLLM, KServe). - Nice - to - have: - Cloud and security certifications (e.g., CKA/CKAD, Terraform Associate, CISSP). - Experience with GitOps workflows (Argo CD, Flux) and CI/CD security pipelines. - Knowledge of policy frameworks (OPA, Gatekeeper, Kyverno) and workload identity systems (SPIFFE/SPIRE). - Familiarity with GPU/accelerator-based infrastructure for ML/LLM workloads. - Background in SRE practices, including SLO/SLI design and incident response. - Contributions to open-source cloud, DevSecOps, or LLM infrastructure projects. What we offer: - Competitive salary and performance-based bonuses. - Fully remote, flexible work environment. - Modern laptop and hardware provided by us. - Specialized training in AI, automation, and digital productivity tools. - Global exposure—collaborate with top-tier founders and fast-growing startups. - Continuous learning and career growth opportunities in an international environment.
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