Junior Kubernetes Architect (Microsoft Azure)
SYSPRO South Africa
Software Development · 501-1,000 employees
About the role
The role involves supporting the design, implementation, and daily operations of the Kubernetes platform under senior guidance. Responsibilities include managing cluster configurations, maintaining RBAC policies, and contributing to infrastructure-as-code assets.
What they look for
Requirements
Candidates must hold a Bachelor's degree in a relevant field and possess 1-3 years of experience in cloud infrastructure or DevOps. Proficiency in Kubernetes fundamentals, containerization, and Linux command-line tools is required.
Benefits
Full description
The Junior Kubernetes Architect supports the design, implementation, and day-to-day operations of Syspro’s Kubernetes platform under the guidance of the Senior Kubernetes Architect. The role develops technical depth in container orchestration, cloud infrastructure, and AI-assisted platform tooling, contributing to the delivery of a reliable, scalable multitenancy environment. Minimum Level of Education • Bachelor’s Degree in Computer Science, Information Technology, or a related field; or equivalent NQF Level 7 qualification.
Beneficial Qualifications • Certified Kubernetes Administrator (CKA) or working towards certification. Cloud foundation certifications (AWS, GCP, or Azure).
Minimum Experience• 1–3 years in a cloud infrastructure, DevOps, or IT operations support role. Basic hands-on exposure to Kubernetes or container technologies in a professional or project context. Familiarity with Linux administration and command-line tooling.
Beneficial Experience
- Internship, academic project, or open-source contribution experience with Kubernetes or Docker. Exposure to CI/CD pipelines and version control (Git). Familiarity with infrastructure-as-code tools such as Terraform or Ansible. Participation in Kubernetes or CNCF community learning programmes.
Special Skills and Knowledge• Kubernetes fundamentals: working knowledge of Kubernetes architecture, core objects (Pods, Deployments, Services, ConfigMaps), and cluster operations.
- Containerisation: understanding of Docker, container images, registries, and container lifecycle management.
- Linux command line: comfort navigating Linux environments, managing files, processes, and basic system administration tasks.
- YAML and Helm basics: ability to read, write, and troubleshoot YAML manifests and Helm chart structures.
- AI-assisted tooling: openness to learning and applying AI-powered monitoring and automation tools used within the Kubernetes platform environment.
- Monitoring and observability: familiarity with monitoring concepts and tools (Prometheus, Grafana, or equivalent) at an operational level.
- Attention to detail: precision in configuration management, documentation, and incident recording.
- Teamwork and learning agility: ability to work collaboratively within a technical team and rapidly develop skills in an evolving cloud environment.
- Problem-solving: structured approach to diagnosing issues, following runbooks, and escalating appropriately when needed.
- Assist in the design and implementation of Kubernetes cluster configurations, namespace structures, and workload deployments under the direction of the Senior Kubernetes Architect.
- Support day-to-day operations of the Kubernetes platform — including deployments, upgrades, patch management, and health monitoring — ensuring platform availability and performance within defined service levels.
- Implement and maintain RBAC policies, resource quotas, and network policies in accordance with standards and blueprints defined by the Senior Architect.
- Contribute to the development of infrastructure-as-code (IaC) assets — including Helm charts, Terraform modules, and deployment manifests — to support consistent and repeatable platform deployments.
- Participate in incident response and troubleshooting for Kubernetes-related issues, following defined runbooks and escalating complex problems to the Senior Architect with clear documentation of findings.
- Learn and apply AI-assisted tooling for Kubernetes cluster management — including intelligent monitoring dashboards, auto-remediation workflows, and anomaly detection tools — under the guidance of senior team members.
- Maintain accurate technical documentation for platform configurations, runbooks, and operational procedures, keeping records current as the platform evolves.
- 25 annual leave days
- 30 days paid sick leave over 3-year cycle
- Hybrid working environment (2 - 3 office days as determined by the function/ manager)
- Pension
- Medical aid
- Life insurance
- Group income protection
- Bonus/ commission programmes
- Maternity: 6 months at half pay
- Paternity: 2 weeks full pay
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