BTech in Computer Science, Software Engineering, Information Systems, Electronic
Engineering or equivalent qualifications coupled with 13 years experience,
BENG / MTech in Computer Science, Software Engineering, Information Systems,
Electronic Engineering or equivalent qualifications coupled with 9 years experience,
MENG in Computer Science, Software Engineering, Information Systems, Electronic
Engineering or equivalent qualifications coupled with 7 years experience,
PHD in Computer Science, Software Engineering, Information Systems, Electronic
Engineering or equivalent qualifications coupled with 5 years experience.
Experience :
3+ years in a technical leadership or software / system architectural role with direct responsibility for large- / platform-scale distributed systems.
Demonstrated hands-on experience in infrastructure design and automation, distributed systems, observability, CI / CD, container orchestration (e.g. Kubernetes), DevOps / SRE practices and cloud-native technologies.
Experience leading teams or initiatives that intersect with data platforms, storage, networking, and systems engineering domains
Knowledge :
In-depth understanding of systems engineering principles, including performance optimization, fault tolerance, and resource scheduling in Linux-based environments.
Strong knowledge of containerized environments (Docker, Podman), orchestration platforms (Kubernetes, Helm), and runtime architectures (containerd, CRI).
Expertise in infrastructure-as-code, continuous integration / deployment (CI / CD), and configuration management tools (e.g., GitLab CI, Ansible, Terraform, ArgoCD).
Advanced understanding of distributed computing and storage architectures, including Ceph, S3, NFS, and local / clustered file systems.
Operational and architectural fluency in relational and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB), including replication, backups, and performancetuning.
Working knowledge of networking fundamentals, security protocols, and systems level observability (e.g., Prometheus, Grafana, ELK / EFK stack).
Familiarity with the HPC ecosystem (e.g., SLURM, job schedulers) is beneficial for environments supporting scientific or research computing.
Please note that if you have not received a response within 14 days of submitting your application that your application was unsuccessful.
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System Engineer • Cape Town, South Africa
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