SKA Mid - Platform Engineer

Key Responsibilities:

• Contribute to the development and improvement of platform services supporting engineering and operational teams.
• Support integration of platform services with application and infrastructure systems.
• Contribute to platform automation, monitoring, and operational reliability efforts.
• Develop expertise in platform engineering while contributing to continuous improvement and innovation.

Qualification:

• National Diploma in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 7 years experience, OR
• BTech in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 6 years experience, OR
• BENG/MTech in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 4 years experience, OR
• MENG in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 3 years experience.
• PHD in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 1 years

Experience:

• 2+ years demonstrated technical hands-on experience in infrastructure automation, distributed systems, observability, CI/CD, container orchestration orchestration (e.g. Kubernetes), DevOps/SRE practices and cloud-native technologies.
• Experience working in teams or initiatives that intersect with data platforms, storage, networking, and systems engineering domains.
• Experience of platform engineering practices, including infrastructure as code, observability stacks, and automated deployment pipelines.
• Exposure to DevOps and SRE principles, including monitoring, alerting, incident response, and resilience engineering.

Knowledge:

• Knowledge of software systems architecture, microservices, service meshes, and distributed system design.
• Familiarity with networking and security in cloud or containerized environments,
• Understanding of storage systems (object, block, distributed), data lifecycle management, and backup strategies.
• Familiarity with agile methodologies and cross-functional team delivery processes.
• Exposure to control systems, data acquisition, or scientific computing platforms is advantageous.

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