Cloud Engineer - Support Top-Tier Entrepreneurs

Rayai Inc.; Gauteng; Remote; ZAR 1 016 000 - 1 694 000; Full time

Job summary

A tech-focused firm in Gauteng is seeking an experienced Cloud Engineer & Infrastructure Security professional to design and secure their hybrid infrastructure. You will manage Kubernetes clusters, implement zero trust security models, and work on LLM workloads. The ideal candidate will have a strong background in DevSecOps practices and infrastructure security. This role offers a competitive salary, flexible working conditions, and opportunities for professional growth.

Benefits

Competitive salary

Fully remote work environment

Modern laptop and hardware

Specialized training in AI

Career growth opportunities

Qualifications

• Strong experience with Kubernetes, including cluster provisioning and security.
• Proficient in Terraform and Helm for infrastructure automation.
• Expertise in infrastructure security and zero trust models.
• Hands-on experience with DevSecOps practices.
• Solid understanding of cloud networking and firewalls.
• Experience with hybrid or on-prem deployments.
• Skilled in Linux scripting and automation.
• Familiarity with monitoring tools like Grafana and Prometheus.
• Experience in managing LLM workloads.

Responsibilities

• Deploy and manage Kubernetes clusters using Terraform and Helm.
• Design secure network topology including VPCs and VPNs.
• Implement zero trust models and enforce security policies.
• Integrate security checks into CI/CD pipelines.
• Build infrastructure for LLM workloads and support hybrid deployments.
• Implement logging and monitoring solutions.
• Automate operational tasks and support incident response.
• Mentor teams on cloud best practices.

Skills

Kubernetes

Terraform

Helm

Infrastructure Security

DevSecOps

Linux Administration

Monitoring and Observability

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.