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Senior Compute Systems Engineer

Senior Compute Systems Engineer

Kamo PlacementsCape Town, South Africa
8 hours ago
Job description

JOB DESCRIPTION

  • Contribute to the global design and implementation of scalable and fault tolerant infrastructure systems that support engineering and operational needs.
  • Contribute to the deployment, configuration, and maintenance of distributed storage and database systems
  • Analyse system failures, performance issues, and misconfigurations across hardware, software, and network layers.
  • Lead and mentor the computer systems engineers and contribute to strategic technical planning.

JOB REQUIREMENTS

Qualification :

  • 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 year
  • 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 optimisation, fault tolerance, and resource scheduling in Linux-based environments.
  • Strong knowledge of containerised 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 performance tuning.
  • 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
  • Competency Essential :

  • Demonstrated technical leadership (3+ years), leading cross-functional efforts across systems, storage, and database infrastructure, driving technical decisions from architecture through implementation.
  • Systems engineering expertise, with a focus on Linux administration, infrastructure automation, service orchestration, and performance optimisation across diverse environments.
  • Expertise in distributed systems architecture, including the design and deployment of scalable, resilient services using microservices, event-driven, and cloud-native design patterns.
  • Containerisation and orchestration fluency, including production-grade usage of Kubernetes, Docker, and Helm for system and application-level deployments.
  • Infrastructure automation and CI / CD, using tools such as GitLab CI, ArgoCD, FluxCD, Jenkins, or GitHub Actions to streamline and secure platform operations.
  • Complementary DevOps and SRE practices, blending infrastructure-as-code, configuration management, and release automation (DevOps) with incident response, monitoring, SLIs / SLOs, and system reliability engineering (SRE).
  • Linux expertise, including advanced troubleshooting, kernel tuning, system orchestration, and optimisation at scale.
  • Technical delivery and planning capabilities, including backlog scoping, cross-team collaboration, and Agile sprint execution.
  • Database administration skills, with operational experience in administering relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB), including high availability, backups, replication, and performance tuning.
  • Diagnostic skills, with a root-cause-first approach, and a strong bias for ownership, accountability, and long-term operational stability.
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    System Engineer • Cape Town, South Africa

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