JOB DESCRIPTION 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. JOB REQUIREMENTS Qualification: National Diploma in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 7 years experience, BTech in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 6 years experience BENG/MTech in Computer Science, Software Engineering, Information Systems, Electronic Engineering or equivalent qualifications coupled with 4 years experience, 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. 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. Competency Essential: Hands-on experience (2 years) in platform or systems engineering, preferably in infrastructure-heavy or scientific computing environments. Solid understanding of distributed systems and the ability to implement scalable, resilient platform components. Proficiency with containerization and orchestration technologies such as Docker, Kubernetes, and Helm. Practical experience with CI/CD pipelines and automation tools (e.g., GitLab CI, ArgoCD, Jenkins, GitHub Actions). Working knowledge of infrastructure as code, monitoring/observability tools, and modern DevOps/SRE practices. Strong skills in Linux systems administration, including basic tuning, troubleshooting, and scripting. Ability to contribute to technical planning, deliver scoped work in Agile teams, and collaborate across engineering disciplines. Demonstrated problem-solving ability with a focus on root cause analysis, operational reliability, and continuous improvement.