Cloud Engineer - Support Top-Tier Entrepreneurs

RayAI Inc.; Remote; ZAR 200 000 - 300 000; Full time

Job summary

A technology firm specializing in cloud infrastructure seeks a skilled Cloud Engineer & Infrastructure Security professional to design and secure their hybrid infrastructures. The ideal candidate should have comprehensive knowledge of Kubernetes, Terraform, and DevSecOps practices. This remote role offers competitive compensation and the opportunity for continuous learning and growth within a global context.

Benefits

Competitive salary and performance-based bonuses

Fully remote, flexible work environment

Modern laptop and hardware provided

Specialized training in AI and automation

Global exposure and collaboration opportunities

Qualifications

• Strong experience with Kubernetes for cluster provisioning and security.
• Proficient in Terraform and Helm for infrastructure-as-code.
• Expertise in infrastructure security and zero trust models.
• Hands-on experience with DevSecOps and security automation.
• Solid understanding of cloud networking and configuration.

Responsibilities

• Deploy and manage Kubernetes clusters using Terraform and Helm.
• Design and enforce secure network topology.
• Integrate security scanning and automate compliance checks.
• Build infrastructure for LLM workloads.
• Implement monitoring and observability solutions.
• Automate routine tasks and improve operational efficiency.

Skills

Kubernetes

Terraform

Helm

Infrastructure security

DevSecOps

Linux administration

Scripting

Monitoring tools (Grafana, Azure Monitor, Prometheus)

Education

Cloud and security certifications (e.g., CKA/CKAD, Terraform Associate, CISSP)

Job description

A Message from Our CEO:

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.