Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders, and communities to grow through differentiation, agility, and innovation. We are looking for top talent, and your success is our success.
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Overall Objectives
- Ensure that the IT infrastructure and application environments are right-sized and proactively scaled to meet current and future business demand.
- Analyse and report on system performance trends, utilisation patterns, and workload forecasts across compute, storage, network, and application layers.
- Support strategic investment planning and operational readiness by identifying capacity risks, inefficiencies, and optimisation opportunities.
- Enable a data-driven approach to resource planning, cost control, and service resilience.
Role Specific Responsibilities
- Monitor and analyse system and application performance data to identify utilisation trends and capacity constraints.
- Forecast resource requirements based on historical trends, business growth projections, seasonal patterns, and planned changes.
- Support project and release planning by providing performance impact assessments and capacity risk analysis.
- Contribute to cost optimisation efforts by identifying over-provisioned resources and underutilised assets.
- Maintain performance models for core systems and review them regularly with architecture and engineering teams.
- Develop and refine KPIs and SLIs that measure capacity headroom, saturation risk, and performance thresholds.
Core Competencies Required
- Strong experience with capacity planning and forecasting tools (e.g., Turbonomic, BMC TrueSight, VMware vRealize, AWS/Azure native tools, custom Grafana/Prometheus dashboards).
- Understanding of statistical and ML-based forecasting models, including trend extrapolation and seasonality analysis.
- Familiarity with system performance KPIs such as CPU/RAM/disk utilisation, thread pool sizing, IOPS, database latency, and transaction throughput.
- Proficiency in using data tools (Excel PowerPivot, Python, R, SQL) for large-scale data modelling and predictive analysis.
- Effective communicator who can present technical capacity models to both engineering and business stakeholders.
- Structured and methodical, capable of producing formal analysis and risk reports.
