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.
